for full parsing one would probably need non local contextual information such as the long range trigrams in link grammar della
in this section we report the results of a crossvalidation of the parser carried out on the negra treebank
the quasi trees are specified by partial tree descriptions in a logical language patterned after rogers and vijay shanker we call the partial descriptions blocks
as shown by reiter all possible models can be found for a finite set of graphical symbols with a constraint satisfaction algorithm
it is also interesting to note that the wqsum is a measure of variation a type of metric which according to has not previously used in this type of study
a solution to this and several other problems with the standard cusum technique is offered by b in the form of weighted cusums henceforth wqsums
the effect of an inform act in allen and perrault s system is that the hearer believes the communicated proposition this definition would seem to say that the hearer always accepts the information provided by the speaker
our process model starts with the semantic representation of a new utterance and uses plan inference rules along with constraint satisfaction to hypothesize chains of actions a1 a2
other collaborative models assume that two participants are working together to achieve a common goal lochbaum
NUM NUM lexicalised statistical parsing without actually build
i z tology use by but obtained distinctly poorer results in spite of the larger number of features
all of the pronunciations are taken from the standard dialect atlas hence rend reeks nederlandse dialectatlassen
this distance matrix is compared to existing accounts of the dialects in question especially the most recent systematic account
the generation lexicon in our approach is essentially the same as the analysis lexicon but with a different indexing scheme on ontological concepts instead of nl lexical units NUM stede1996 is an example of another generator with a comparable lexicon structure although our work is richer including collocational constraints for example
the general argument is that since sentence planning tasks are not single step operations since they do not have to be performed in strict sequence and since the planner s operation is non deterministic each sentence planning task should be implemented by a separate module or by several modules see e.g. wanner and hovy1996
this flies in the face of much recent work in phonology but works for NUM of languages and is a useful simplifying assumption at this stage
according to the study mentioned in section NUM of direct answers are accompanied by such information
the prepositions that the verbs subcategorize were initially extracted from comlex
in order to achieve this the mts system will have to deal with syntactic aggregation
for a discussion of template driven systems van van
later work introduced other foms formed from pcfg data and
despite that doctors vary greatly in how frequently they use fp s which agrees with cook findings of no correlation between fp use and the mode of discourse
the correspondence between linguistic categories and geometrical types resembles the translation from english to intensional and it is defined in terms of the function f as follows NUM f t t
the general methodology of decision tree construction is well known e.g.
the method has been tried before and had promising results
similar conclusions are being reached in who compare different corpora
some statistical model to estimate the part of speech of unknown words from the case of the first letter and the prefix and suffix is proposed
note that this notion of semantic lexicon acquisition is distinct from work on learning selectional and learning clusters of semantically similar words
in this paper we limit our discussion of chml to its ability to learn parsers that map natural language questions directly into prolog queries that can be executed to produce an answer
these rules correspond closely to the familiar steps in existing bottom up ltag parser in particular the way that we use the four indices is exactly the same as in other approaches
a conventional parsing algorithm views the trees as independent and so is likely to duplicate the processing of this common structure
to estimate the probabilities of the combinations of word type and part of speech that did not appeared in the training corpus we used the witten bell method to obtain an estimate for the sum of the probabilities of unobserved events
once again we applied cochran s and the mann whitney
null models more accurately the effect of distance between triggering and triggered word showing that for non self triggers NUM the triggering effect decays exponentially with distance
state that NUM of levin s alternations add the telicity feature to a verb s meaning many of these are rather specific and apply only to very few verbs
the notion of valency was further developed predominantly in german linguistics with a culmination point being the valency dictionary of german verbs by helbig and computational linguistics volume NUM
the training of the hmm can be done on either a tagged or untagged corpus and is not a topic of this paper since it is exhaustively described in the literature
he posited that large clusters of first uses frequently followed topic boundaries since new topics generally introduce new vocabulary
morris and hirst developed an algorithm based on lexical cohesion relations
all these modules are fully operational and integrated within the text understanding backbone of syndikate a large scale text knowledge acquisition system for the two real world domains of information technology and medicine hahn
tabular realization was and will be the subject of further research
for a good introduction to tags the reader is
we note that this construction can be straightforwardly extended to convert stochastic hags as into stochastic cfgs
other lexicalized formalisms include mel
the advantage of winnow which made us decide to use for our task is that it is not sensitive to extra irrelevant
as far as coverage is concerned our parser can handle recursive structures which is an advantage compared to simpler techniques such as that
an archetypal representative of this approach is the method who used corpus frequencies to determine the boundaries of simple non recursive nps
in this section we briefly discuss how to extend a lexmon using denvatlonal morphology and off the shelf resources such as to propagate the english lexicon with synonyms and levm s database of subcategonzatlons and alternations for enghsh to encode syntactic information m the verb entries NUM
the technique was adapted for author and achieved some notoriety for its use in court cases e.g. to identify faked or coerced confessions as well as in literary studies
the complexity results carry over to linear indexed grammars combinatory categorial grammars and head grammars since these formalisms are equivalent to tags
the output of the sentence planning module is a sequence of lexicalised sentence semantic specifications semspecs based on
an automatic refining technique for hidden markov models has been proposed by
postulated a theory of discourse structure that included linguistic intentional and attentional components and they argued that the dominance and satisfaction precedes relationships between discourse segments must be identified in order to determine discourse structure
birnbaum flowers dyer and mcguire mcguire birnbaum developed a system that finds flaws in arguments and determines how to respond
others have investigated how understanding and lack of understanding are communicated and can be recognized
it is presented and may be understood as the cost of the least costly set of operations mapping from one string to another
we have recently become aware of the which criticizes the simple application of entropy measures to feature systems in which some features are only partially defined
the superiority is seen in the degree to which the distance matrices and resulting dendrograms match those of expert dialectologists in particular
they generally adopt heuristics such as linear ordering and recency of basic chunks such heuristics have been shown not as effective as those based on full syntactic relations even if for some languages they represent an acceptable
secondly we represent syntactic relations in the sentence i.e. grammatical functions and thematic roles such relations allow a better treatment of linguistic phenomena than possible in shallow approaches
quinlan proposed the gain ratio to correct for this
implemented highly structured connectionist systems for both the static and dynamic concept classes discussed above the dynamic system incorporating the single frame processing capabilities of the static system
considered a novel class of connectionist networks in which connectivity is determined randomly in accordance with biologically plausible probabilities
recall that location based attentional models construct saliency as a weighted sum of several constituent feature maps which while representing anatomically distinct areas provide inherent location binding
there is a further property of sentence 5b which was first and which makes it seem as though scope phenomena are strongly restricted by surface grammar
the tree structure in figure NUM possesses two attach sl follow here the description of a tree logic such as that
recently has shown that feedforward networks with one layer of sigmoidal nonlinearities achieve an integrated squared error of order o NUM NUM for input spaces of dimension d where n is the number of units of the network
pp attachment can be considered as a classification problem were NUM tuples are classified in two classes as to whether it is attached to the noun or to the verb
both of these core lexicons can be expanded with lexical rules to contain around NUM NUM entries
however since this work requires a great deal of labor and it is difficult to keep description of dictionaries consistent the researches of automatical dictionaries making for machine translation translation rules from corpora become active recently
showed that if d fi and d fj were exclusive to each other that is d fi fq d fj o then ai and xj could be estimated independently
discuss in detail the annotation tool and protocol and assess the inter judge agreement and the reliability of the annotation
this is known as minimal recursion semantics mrs and is described in detail in though for the sake of simplicity we will ignore most of the details in these examples including all discussion of quantification
this would not be possible with some previous versions of default unification including russell carroll and the second version of the lkb default unification
3clark presents a term discourse topic as concept equivalent to focus space in and call their transition discourse transition
while the empirical approach of this study is close to that of they apply a machine learning technique to predicating cue occurrence and placement not cue phrase selection
in addition in order to get an intuitive feel of overall performance we also calculated the sum of the deviation from ideal values in each metric as in
we define discourse segment or simply segment as chunks of utterances that have a coherent goal
the result is a two way finite state automaton that may be analyzed using light parsing with the salient words of the weighted frequency lists as starting points see figure NUM
the interesting parts of a text or a message which have a high significance for if systems can be divided into domain specific and text relevant data or high level and low level patterns as illustrated in figure NUM where the domain specific words are represented in bold and the corresponding text relevant information in cursive letters
in contrast our approach to clustering words is
backing off as indicated by the results of several groups the word trigger pairs do not help much to predict the next word if there is already a good model based on specific contexts like trigram bigram or cache
in the work presented here we made two major changes to the previous attempts we have used an optimal tree growing not known at the time of publication of and we have replaced the ad hoc clustering of vocabulary items used by bahl with a data driven clustering scheme proposed in
once an equivalence classification of all histories is constructed additional training data is used to estimate the conditional probabilities required for each node as described in
in english these verbs form a subclass of mmrgative verbs levin intransitive action verbs that may appear in a transitive form 2a the horse raced past the barn
counts were performed on the tagged version of the brown corpus and on the portion of the wall street journal distributed by a combined corpus in excess of NUM million words
so for instance the sentence consumer spending jumped NUM NUM in february after a sharp drop the month before is counted as an occurrence of the manner of motion verb j amp in its intransitive form
the problem can be resolved by defining stricter normalised proofs which impose a unique ordering when alternatives would otherwise
the rules we present here are not lexical rules as in copestake and biscoe NUM but they are part of the semantic composition sys saint dizier NUM sense variation and lexical sense variation and lexicai semantics generative operations
knowledge that the trigger word t has occurred within some window of words in the history changes elling
for self triggers words which triggered themselves were the most frequent kind of triggers NUM of all word triggers were selftriggers
to evaluate the results of this type of fusion we selected NUM articles about new computer of average NUM words each
the language described by the grammar contains exactly the strings abc a b c adbec and a db ecq the algorithm from however also accepts adb ec and a dbec
vrronis and has focused mainly on the extraction of a rule set
however show significantly higher achievement of a rule based tagger than that of statistical taggers for english text
groups baltic and slavic but otherwise agrees with finegan and besnier as
lexicon besides its other usages provides information about the relationship between concept instances and word senses of tile target language
systems which are able to acquire a small number of verbal subcategorisation classes automatically from corpus text have been and
in experiments measuring the coverage of our system we found that the mean length of failing sentences was little different to that of successfully parsed ones
have recently proposed a novel model for probabilistic lr parsing which they justify as theoretically more consistent and principled than the model
manning reports a larger experiment also using a pos tagged corpus and a finite state np parser attempting to recognize sixteen distinct complementation patterns although not with relative frequencies
three are made up of a variety of perl scripts prolog saved states or c executables which are run as external processes via gate s NUM
previous computational investigations of this have relied upon highly structured feature detection systems and the abstraction of object identification issues into the input data
while acknowledging therefore the importance of pre processing as identified the present work does not employ feature extraction machinery of the same sophistication
memory based learning has been shown to be quite adequate for various natural language processing tasks such as stress assignment grapheme phoneme conversion daelemans and and part of speech tagging
heemskerk for a probabilistic variant
one example of such non traditional entity types if an idea that apparently originates with aristotle can be called non traditional is the notion of arbitrary
to morphological analysis most linguistic problems can be seen as contextsensitive mappings from one representation to another e.g. from text to speech from a sequence of spelling words to a parse tree from a parse tree to logical form from source language to target language etc
the information that comes with it could be encoded as a feature value matrix such as see figure NUM
third an indirect answer may be used to avoid as illustrated in NUM NUM NUM i
this interface was supplied with turbo prolog NUM NUM and was designed specifically for this domain
as english locational or place type prepositions may be ambiguous because they may also have a directional or path type reading
our named entity recognizer used a maximum entropy model built with adwait ratnaparkhi s to label word sequences as either person place company or none of the above based on local cues including the surrounding words and whether honorifics e.g.
we used the c4 NUM in order to learn decision trees and rules that classify let
however one can always convert a tfs into a unique most general fully inequated tfs as where a fully inequated tfs is one where any two incompatibly typed nodes in the tfs stand in the inequality relation defined by z
sag in an account of relative clause constructions defines a general type phrase from which various subtypes of phrase inherit figure NUM
using NUM NUM words of data with a vocabulary size of NUM we achieved a perplexity of NUM NUM on the known words in comparison to a trigram word based backoff built with the cmu which achieved a perplexity of NUM NUM
srinivas reports that suclt a model results in a NUM NUM increase in perplexity over a word based model on the wall street journal report an ii NUM increase but a NUM fold decrease in the number of parameters of such a model for the lob corpus and report a NUM increase on the lob corpus
describes a technique of augmenting the hidden markov models for part of speech tagging by the use of networks
but even with high quality scanners the promised NUM NUM recognition rate is difficult to achieve and remains the ideal case due to e.g. the use of different fonts low quality print or paper a low resolution etc
a comparison of the core lexicon with common frequency analyses francis and for correct texts shows that even with a very small text sample the resulting information for linguistically allowed alterations of a lexical base form is acquired automatically
on the other hand texts or messages that are written for a very specific purpose show the phenomena of with less ambiguities and varieties than unrestricted language but still more freedom in expression than controlled languages
so the main module first constructs a processing stack which contains the main event scope of the speech act relations or special frames casual temporal textual relations speech acts etc and other events in the given order
in we have developed a context dependent training algorithm of the phrase class probabilities
klipple also observes more generally that directions are typically incorporated within the french motion verb
to date i have focused on the text of encarta henceforth encarta a general purpose electronic encyclopedia whose articles exhibit a variety of complex discourse structures
though this top to bottom method seems theoretically possible in the presented work a different approach which is bottom up is used
our extended directionality constraint an extension of s directionality constraint also applies to conjoined premodifiers and postmodifiers as well as demonstrated by in aisle NUM and in aisle NUM and at NUM pm and at NUM pm
in the community of nlg there is a broad consensus that the generation of natural language should be done in three major steps
it adopts the following features of the interactive proof development environment f mc ga mathematical theories are organized in a hierarchical knowledge base
a first proposal is who breaks a complex sentence into a hierarchy of center updating units
originally in we defined the cf ranking criteria in terms of contextboundedness
we split complex sentences into the units following the categorization in figure NUM
there are mainly two approaches to word sense assignment corpus dr yen and mental driven the former is better adapted to braiding lexicons used m analysis whereas the latter better suits lexicons to be used in generation we for the corpus driven approach and discuss m this paper the mental driven approach
NUM the model is based upon examples of uses of direct and indirect answers found in transcripts of two person telephone conversations between travel agents and examples given in previous studies and constructed examples reflecting our judgments
argue that it is necessary for generation systems to represent not only the speaker s top level goal but also the communicative subgoals that a speaker hoped to achieve by use of an informational relation so that if that subgoal is not achieved then an alternative rhetorical means can be tried
zipf who is a linguist was one of the early researchers in statistical language models
therefore we linearly interpolated the following five probabilities
in addition a tree logic is used to represent underspecification within the discourse
for a detailed description and a complete user s guide of amalia refer to wintner gabrilovich
we modified to perform better normalization for variations in document length prior to conducting our ir experiments
both of these algorithms are applied to text following some preprocessing including tokenization conversion to lowercase and the application of a lemmatizer
to determine whether the subjects differentiated between responses that the system interpreted as indirect answers and those that it did not we applied the mann whitney which showed no score overlap at the level p NUM
for argues against this instrument on the grounds that there is no general control regime on lexical rules that would deterministically restrict any polysemic expansion
instead we view salience goals as goals that the generator tries to fulfill if possible similar to certain stylistic goals
in our experiments lob corpus is employed to train the co occurrence statistics for translation ambiguity resolution and rocling balanced corpus huang is employed to train the restrictions for target polysemy resolution
for example k yun4dong4 has the following meanings NUM sport NUM exercise NUM movement NUM motion NUM campaign and NUM lobby
in the link grammar framework della strictly local contexts are naturally combined with long distance information coming from long range trigrams
the text is first processed by a named entity identifier which we developed as part of sheffield s entry for muc NUM wakao gaizauskas
steel argue giving credit to henry thompson for some of the ideas that the performance of a parser could be improved by allowing the grammar writer to do exactly this
hirschberg addresses a class of conversational implicatures scalar implicatures which overlaps with the class of implicated answers addressed in our model
in carberry s discourse processing model for a mechanism is provided for updating the shared discourse expectations of dialogue participants throughout a conversation
the mts system thus combines transplanted prosody with prosody by model in order to achieve highly natural prosody for partly variable messages van
computational linguistics volume NUM number NUM initial work on this component includes a subsystem that can identify what evidence to present to a user when conflicts arise and what information to request when the system can not rationally decide whether to accept a proposition conveyed by the user
lowe utilized the hand assigned topic labels for the switchboard speech corpus to develop topic specific language models for each of the NUM switchboard topics and used a single topic dependent language model to rescore the lists of n best hypotheses
it is also not allowed in which is the only order independent version of default unification of which we are aware apart from pdu and yadu
use conditional logic to extend young and rounds definition to typed feature structures describing an operation called persistent default unification pdu
in the relationship between placement and selection of cue phrases was investigated using the core contributor relations among units within a segment
as part of the trains project a long term research project to build a conversationally proficient planning assistant we collected a corpus of problem solving dialogs
to estimate the probability distributions we follow the approach of and use a decision tree learning algorithm to partition the context into equivalence classes
our pos tagset is based on the penn treebank tagset but modified to include tags for discourse markers and end of turns and to provide richer syntactic
one can also mix in smaller size language models when there is not enough data to support the larger context by using either interpolated estimation or a backoff
research in this area points out that it is possible to determine the structure of a natural language by examining the regulaxities of the statistics of
for purposes of pruning and only for purposes of pruning the prior probability of each constituent category is multiplied by the generative probability of that
the drawback of his work is that the number of classes is determined previous to run time and the genetic algorithm only searches for the membership of those korkmaz and g6ktark lqoluk NUM choosing a distance metric for word categorization emin erkan korkmaz and g6ktork l choosing a distance metric for automatic word categorization
also bigrams are used with greedy algorithm to form the hierarchical clusters of
casper uses a representation influenced by lexical functional grammar lfg and semantic structures
plandoc generates english summaries based on somewhat cryptic traces of the interaction between planning engineers and leis plan tm
mutual information is a good measure of the co occurrence relationship between two words
this is similar to pollack s model of that can account for user misconceptions instead of inferring a relationship between every query and the speaker s goal pollack requires that the system apply only well motivated rules that hypothesize principled variations of the system s own beliefs and that the system treat as incoherent any queries that can not be explained via these rules
in a more sophisticated discourse planning formalism such as argued for in young moore it would be possible to represent and reason about other intended effects of the response
while the retain shift combination in examples 10c and 10d slightly modified from brennan friedman NUM did not indicate a difference between the approaches for the retain continue combination in examples 10c and 10d the two approaches led to different results see table NUM for the bfp algorithm and table NUM for the func algorithm
in a computational approach to the lexicon word sense enumeration should not be the rule but be reserved for
a semantic net such as wordnet is a database of words and their various relationships
NUM segmenter linear segmentation for the purposes of discourse structure identification we follow a formulation of the problem in which zero or more segment boundaries are found at various paragraph separations which identify one or more topical text segments
many systems focus only on acquisition of verbs or nouns rather than all types of words
NUM NUM NUM baseline single neighboring word as disambiguating feature the first disambiguating feature we present here is similar to the statistical feature in namely the co occurrence with neighboring words
a well known architectural scheme outlining the three basic levels of an nlg system has been proposed by p NUM NUM NUM content determination and text planning the content of the message to be communicated is mapped onto a semantic form possibly annotated with rhetorical relations
one is to use active learning in which the system chooses which examples are most usefully annotated from a larger corpus of unannotated data
one however his approach does not allow for phrases in the lexicon or for synonymy within one text segment while ours does
to find the common substructure between pairs of query representations we use a method similar to finding the least general generalization of first order
the introduction of statistical parsing brought with an obvious tactic for ranking the agenda and first used probabilistic context free grammars pcfgs to generate probabilities for use in a figure of merit fom
NUM propose a collaborative model of dialogue in which referring is viewed as a collaborative process and each conversation unit is viewed as a contribution which consists of NUM an utterance that performs a referring action and NUM the utterances required to understand the referent described in the utterance
how many content words in both regions were synonyms according to wordnet
this algorithm merely recognizes input but it can be extended computational linguistics volume NUM number NUM to be a parsing algorithm with the which also suggest how it can be extended to handle substitution in addition to adjunction
we present the results of evaluating the nmr analyzer in the context of a large knowledge acquisition experiment see
introduction although machine learning approaches have achieved success in many areas of natural language processing researchers have only recently begun to investigate applying machine learning methods to discourse level problems di
the use of a rich set of contextual features is also the basic idea of the approach taken by who employ predicates capturing syntactic and semantic context in their parsing and machine translation system
in order to achieve a more compact representation we use a convention that is commonplace in the hpsg literature and others namely we abbreviate single paths by the use of a vertical bar i
within these substructures the instance feature plays a central role it specifies the concept from the sensus ontology NUM that the object referred to by the expression in the source language is an instance of
clauses and sentences annotated by apa as the beginning of a new argument might be used to identify main points of an
all sentences in the essays were parsed using the microsoft natural language processing tool msnlp so that syntactic structure information could be accessed
at the rhetorical level clauses are combined based on their rhetorical relationships such as contrast and condition
in earlier systems clause aggregations are implemented in strategic component
in streak a generation system which also implements hypotactic aggregation detailed lexical decisions are made whenever a proposition is aggregated
the experiment used a test corpus of NUM sentences and used the standard geig bracket precision recall and crossing measures grishman for evaluation
carroll justify this new evaluation annotation scheme and compare it with others constituent and dependencybased that have been proposed in the literature
present a small scale experiment in which subcategorisation class frequency information for individual verbs w us integrated into a robust statistical non lexicalised parser
use an iterative approach to estimate the distribution of subcategorisation frames given head words starting from a manually developed context free grammar of english
the alvey nl tools anlt dictionary the comlex syntax dictionary grishman
brennan friedman also allow the cb ui i to remain undefined
in general a discourse plan specification for the sake of brevity hereafter referred to as discourse plan explicitly relates a speaker s beliefs and discourse goals to his program of
the l0 sub task examined requires that the model system acquire perceptually grounded semantics of natural language spatial terms
the approach is solidly grounded in the feature integration theory of treisman with perceptual binding mediated through selective attention
zthe completeness of the calculus with respect to the intended interpretation was
in the plus system a pragmatics based dialogue explicitly manages information structure using a semantics based representation
as noted in the introduction another approach is to convert hpsg into tag for generation
the simplest version of a head driven generation algorithm was specified as the bug1 generator in prolog
the following example NUM illustrates that a simple flat list representation as indicated above by et a2 ss is not sufficient for more complex anaphoric expressions such as NUM a when jack entered the room everyone threw balloons at him
we give the first o n NUM results for the natural formalism of bilexical context free grammar and head automaton grammars
in order to prevent these kind of very large expressions an algorithm for generating the set of simplest but maximally expressive expressions of a graphical language has been
first an indirect answer may be considered more polite than a direct answer
the broadest overview on discourse markers to our knowledge is the descriptive work of knott but it does not specifically address the nlg perspective
in we also show how to extend our method to incrementally update the initial gazzeteer
specific terms we are using a hand collected list but we are currently working with beatrice to collect them automatically
the b type fst with no look back and no look ahead which is equivalent to an n0 type shows the lowest tagging accuracy b fst NUM NUM a NUM NUM NUM
previously large scale attempts to compare query translation and document translation approaches to have suggested that document translation is preferable but the results have been difficult to interpret
the exhaustion of the agenda definitively marks the completion of the parsing algorithm but the parse need n t take that long mready in the early work on chart parsing suggests that by ordering the agenda one can find a parse without resorting to an exhaustive search
grosz lochbaum and sidner lochbaum have specified a system in which two agents are working to accomplish some common goal by building a shared plan in which each agent holds certain beliefs and intentions
as shown by a family of parsing algorithms topdown left corner plr elr and lr can be carried over to head driven parsing
the row texttiling shows the performance of the publicly available version of that
for graphs showing the effects of trading precision for recall with these models
the present in explaining scope ambiguities in terms of a distinction between true generalized quantifiers and other purely referential categories
in we used a tripartite structure consisting of an indefeasible typed feature structure a defeasible tfs and the tail written in a slashed notation indefeasible defeasible tail
these algebraic definitions are easier to follow and provide much simpler proofs of theorems than the conditional logic cf the theorems for pdu in lascarides
this latter option suggests that the constraints are converted from default to nondefault for all maximally specific phrasal types which means that these must have a special status
good results in the experiments employing the whole feature set indicate that the classes are learnable and that the classification can be replicated by an automatic classifter
this section describes a learning experiment using c4
hence we restructure the context to take into account the speech repairs and boundary
the annotation of hierarchical relations among segments was based on
simplify these probability distributions as given in equations NUM and NUM
since the bilingual dictionary lacks some words that are essential for a correct interpretation of the korean query it is important to identify unknown words such as foreign words and transliterate them into english strings that need to be matched against an english dictionary
gath and describe such an unsupervised optimal fuzzy clustering
though still not fully worked out it is interesting to note that in both studies ml derived heuristics tend to outperform those that were carefully developed by human experts similar results are reported with respect to learning resolution heuristics for relative pronouns pertaining to a case based learning procedure
strube with respect to centering and with respect to the focus model describe similar approaches and provide algorithms for the interaction of the resolution of inter and intrasentential anaphora but the topic has certainly not been dealt with exhaustively
following gazdar sentences pi and pj representing the propositional content of two utterances are expression alternatives if they are the same except for having comparable components ei and ej respectively
NUM in the following we give some examples of evoked unused and brand new NUM inferrables are like hearer new and therefore discourse new entities in that the hearer is not expected to already have in his her head the entity in question
but see kilger1997 who explicitly addresses microplanning
linguists have devoted a lot of effort to identifying conclusive syntactic and semantic criteria to reach this goal e.g. for intrasentential anaphora within the binding theory part of the theory of government or for intersentential anaphora within the context of the discourse representation theory
further examples for cognitive architectures are soar and epic
familiarity scale the set of hearer old discourse entities old remains the same as before i.e. it consists of evoked e and unused u discourse entities while the set of hearer new discourse entities new now consists only of brand new bn discourse entities
thus the effective length remains almost constant mrayat i and the places of articulation fixe with region NUM always corresponding to the teeth figure NUM
markov but combines these two properties with a third one the word s different modalities as indicated by their number of variants i.e. their weighted ranks
in order to make a prvsentation of your company we would like to recieve your commorcial documents and your last in er NUM pssh
for the tag presented in figure NUM the algorithm from does not work correctly
we consider and gate to be examples of such environments
as a preliminary test of this assumption we used an older version of heeman s language model the current version is described in and connected it to the current dialog parser
null the repair metarule when given the hypothetical start and end of a reparandum say from a language model such as extends copies of phrase hypotheses over the reparandum allowing the corrected utterance to be formed
the application of decision based learning techniques over rich sets of linguistic features has improved significantly the coverage and performance of syntactic and to various degrees semantic parsers
we have not made a conversion of our output
the performance with respect to identifying sentence boundaries appears to be close to that of systems aimed at identifying only sentence boundaries whose accuracy is in the range of NUM
for instance encode partial structures in the tree adjoining grammar framework and use tagging techniques to restrict a potentially very large amount of alternative structures
we have applied the algorithms for phrase grammar acquisition to the how may i kelp you speech understanding task
logical derivations were used to combine clauses and remove easily inferable clauses in
efficiency issues in generation were also addressed in elhadad
this preference of syntactically simple expressions over more complex ones was also proposed in scott
as wahlster et al argued such a three staged architecture is also appropriate for muitimodal generation
a method that gives a good estimate of the generalization performance of an algorithm on a given instance base is NUM fold crossvalidation
the various information sources can be used for different
this can been done either manually or
our symbolic and dictionary based approach is close that of
for example the lexical cohesion should be perfectly usable with our fragmentation method
as for plesionyms near synonyms although and though according differ in formality and although and even though differ in terms of emphasis
computational linguistics volume NUM number NUM of discourse problem solving and
in three types of semantic relations are studied a link between the two head words a link between the two arguments or two parallel links between heads and arguments
state of the art speech recognizers such as the janus recognizer whose output we used for our system typically generate lattices of word hypotheses
the data we used for system training testing and evaluation were drawn from the switchboard and callhome lvcsr
note that this is allowed by unification processors elhadad et a1 NUM but hg gives the added benefits of speed and capability of fuzzy constraint processing
for the usual case split head automaton grammars or equivalent bilexical cfgs we replace the o n NUM algorithm by one with a smaller grammar constant
we will specify a nonstochastic version noting that probabilities or other weights may be attached to the rewrite rules exactly as in stochastic cfg
for a common special case that was known to allow o n NUM we present an o n NUM algorithm with an improved grammar constant
several recent real world parsers have improved state of the art parsing accuracy by relying on probabilistic or weighted versions of bilexical
for deterministic automata the runtime is o n3g2t a considerable improvement on the o n3g3t NUM result which also assumes deterministic automata
this is in clear conflict with another grammatical tradition that marks clausal complements with the functional relations also assigned to non clausal complements when the latter appear to be in a parallel distribution with the former as in i accept his position and i accept that he leaves where both his position and that he leaves are tagged as objects
furthermore the lexical character of fame functional analysis as a dependency between specific headwords makes annotation at the functional level compatible with score driven middle out parsing algorithms whereby parsing may jump from one place to another of the sentence beginning for example with the best scored word expanding it with adjacent words in accordance with the language
set values as in ale are not supported but list values are amalia does not respect the distinction between intensionol and extensional chapter NUM
the system robe demonstrated applies an abstract machine am approach for natural language generation within the framework of typed feature
our segmentation is linear rather i.e. the input article is divided into a linear sequence of adjacent segments
the following trigram models were built using ecrl s transcriber language modeling tools
our current research is aimed at automatically adapting dialogue behavior in toot to increase mean recognition and thus overall agent performance
both hypotactic and paratactic constructions described in this paper have received a lot of attention in linguistics
all of these models indicate the need for modeling collaborative dialogue but none suggests a system that can handle the NUM another reason for repetition she claims is for centering grosz but she concentrates on repetitions that give evidence of understanding
in the third column of table NUM we give the numbers of transitions generated by the grammatical constraints table NUM stated by grosz joshi NUM NUM
a resolution module for pro nominal anaphora and one for functional anaphora hahn based on this functional centering model has been implemented as part of parsetalk a comprehensive text parser for german hahn hahn in our group
recent results in the literature have argued that they can not showing large discrepancies between data collection omprehension and production and online preferences and corpora counts
in the interest of space we omit an introduction to levenshtein distance referring
and more recently wanner and hovy1996 advocate a blackboard control mechanism arguing that the order of sentence planning tasks can not be pre determined
to improve the unknown word model feature based approach such as the maximum entropy might be useful because we do n t have to divide the training data into several disjoint sets like we did by part of speech and word type and we can incorporate more linguistic and morphological knowledge into the same probabilistic framework
in this example a regular expression is used to under specify the structure2 another solution would be to use quasi trees with extended
tishby and gorin learn associations between words and actions as meanings of those words
this approach can dramatically reduce the amount of annotated data required to achieve a desired accuracy
argue that information structure is a distinct dimension and locate info struct in the hpsg context feature rather than content
discussing the plus surface generator suggest that the algorithm and the qlf are suitable for incremental generation
for automatically training the weights we use the method of the multiple regression
an interesting counterargument against the representation of the word pronunciation task using fixed size windows put forward by is that an induetive leaxning approach to grapheme phoneme conversion should be based on associating vaxiable length chunks of letters to variable length chunks of phonemes
one important class is the non specific or non group denoting counting quantifiers including the upward monotone downward monotone and non monotone quantitiers such as at least three few exactly five and at most two in examples like the following which are of a kind and NUM a
the parser was a modified version of the one in the trips dialog system
we use NUM wordnet based measures of similarity one for each wordnet
assigns semantic labels to noun noun compounds based on a dictionary that includes taxonomic and meronymic partwhole information information about the syntactic behavior of nouns and about the relationships between nouns and verbs
phrase grammar trigram model is compared to the baseline system which is based on the phrase based stochastic finite state machines described in
notes that object instantiation requires construction from more elementary features such as shape and color and maintenance of the resulting entity through displacement or continuous motion
another long term goal is to weigh the current framework against a purely robust parsing approach ros that treats out of vocabulary grammar phenomena in the same way as editing terms and speech repairs
we then applied cochran s to the resulting two columns of data
in the sequent a sequent f a consists of a sequence f of input category formulas the antecedent and an output category formula a the succedent
wyner in press describe a novel algorithm for entropy estimation for which they claim very fast convergence time using no more than about five pages of text they can achieve nearly the same accuracy as
the difference between and h the so called kullback leibler divergence can be taken as a measurement of the degree of similarity between p and q NUM for further elaboration on this point the reader is referred to the excellent treatment
given the broad agreement found on the taxonomic relationships among languages for example see the introductory textbooks or the more the classifications and relationships of figure NUM can be described as uncontroversial
to pave the way for the following extensions we consider the asymmetric model rather than the symmetric model as originally described in
this framework is similar to the unification based representation of context free grammars
commercially available mt systems have also been used in large scale document translation experiments
however a shared belief is merely represented in the conversational record as if it were mutually believed although each participant need not actually believe it
the model for each language contains the probability of each known token given the language expressed as three values the basic probability and the lower and ulsper limits isome ideas related to the use of confidence limits can also be found in applied in a different area
our word frequency algorithm uses katz s g
they can be thought of as situational triggers which give rise to new speaker goals i.e. the primary goals of the satellite operator and which are the compiled result of deeper planning based upon principles or politeness
we have developed a computational model implemented in common lisp for interpreting and generating indirect answers to yes no questions
in the NUM countries including all the great powers except the ussr renounced war as an instrument of national policy NUM and pledged to resolve all disputes among them by pacific means
we also tried to semantically cluster terms by using s wordnet NUM NUM with edge counting to determine relatedness as
within rhetorical structure theory rst the discourse structure of a text is represented by means of a hierarchical tree diagram in which contiguous text spans are related by labeled relations
on the other hand considerations of computational efficiency lead us to desire a small set of relations since as the number of possible discourse relations increases the number of possible discourse trees to be considered increases exponentially the smaller the set of hypothesized relations the more quickly the algorithm for constructing can test all possibilities
maria maria arrivata maria has come NUM fame at work theory neutrality theory neutrality is an often emphasised requirement for reference annotation schemata to be used in evaluation campaigns see grace
in section NUM we review the phrase acquisition algorithm presented in
most clustering schemes use the average entropy reduction to decide when two words fall into the same cluster
in particular p u ilwi l wi NUM p c ici l c NUM s e wilc s NUM where s is the state of the language model assigned by the vnsa model
due to silverstein cited a purely pragmatic explanation for the default for bake seems implausible since there is no evident real world explanation
the resulting operations are still well behaved in that they are order independent and return a single result deterministically
our use of the centering transitions led us to the conclusion that continue and smooth shift are not completely specified by grosz joshi and brennan friedman
in general it might become increasingly necessary to integrate very deep forms of reasoning perhaps even nonmonotonic or abductive into the anaphora resolution process
the extension of functional centering to these phenomena is presented in builds upon the centering algorithm described in brennan friedman
other cases such as temporal anaphora kameyama hitzeman have already been examined within the centering model
most location based attentional models are at present based upon the saliency map introduced by
the word hierarchy is generated from training data with an information theoretical algorithm detailed in section NUM NUM
specific tools have been developed to speed up the prosody transplantation process van
this unnecessarily duplicates work at run time unless sophisticated control directives are included in the search engine
recently has explored a bottom up approach to generation as well using a chart rather than a word lattice
discourse particles as for instance german ja nein ach oh and hrn and english well yes oh ah and are extremely frequent phenomena of spontaneous spoken language dialogues
here we do not take into account the information of paragraph boundaries such as the indentation at all due to the following two reasons many of the exam question texts have no marks of paragraph boundaries in case of japanese texts it is pointed out that paragraph boundaries and segment boundaries do not always coincide with each
then we take a predefined number e.g. NUM of the most frequent terms to represent the paragraph and count the similarity using the cosine coefficient see e.g.
although a lot of sophisticate investigation has been done in the area of information esp
it is interesting to speculate finally on the relation of the above account of the available scope readings with proposals to minimize search during processing by building underspecified logical and others cited in
yadu could not replace asymmetric default unification in grover treatment of ellipsis
the pos tags are determined automatically using
in a dialog system it would be useful even if the correct call type was one of the top NUM choices of the decision rule
valp is a reformulation of the valence principle in NUM
levi argues that semantics and word formation make noun noun compounds a heterogeneous class
warren extends the earlier work to cover adjective premodifiers as well as nouns
hinkelman refers to such implicatures licensed by attributing a plan to an agent as plan based implicatures
questioned although non translation based methods of cross language information retrieval clir such as cognate matching and cross language latent semantic indexing have been developed the most common approaches have involved coupling information retrieval ir with machine translation mt
this model is trained on approximately NUM million sentence pairs of hansard canadian parliamentary and un proceedings which have been aligned on a sentence by sentence basis by the methods of and then further aligned on a word by word basis by methods similar to
indeed it has been asserted that document translation is simply impractical for large scale retrieval problems or that document translation will only become practical in the future as computer speeds improve
NUM our next module is based on a proposal by that words in a sentence could be disambiguated by choosing the the sense which produced the maximum overlap of the content words in the textual definitions of the word s senses
our system is in the tradition of who also made use of several knowledge sources for word sense disambiguation although the information sources she used were not independent making it difficult to evaluate the contribution of each component
as noted at a previous conference in this series cunningham wilks we believe that performance and other considerations favor the referential approach but also that sgml is a key part of any general text processing strategy
another problem may arise when the architecture includes facilities for distributed processing as it is not obvious how the linear model currently embodied in the graphs could be extended to support non linear control strucures
the hierarchy of figure NUM NUM NUM is a revision of the sparkle functional hierarchy in the light of the methodological points raised in section NUM NUM
an example is provided by what has been done in the esprit sundial where syntax is defined using a dependency grammar augmented with morphological agreement rules semantics is declared through case using a conceptual graph formalism
the centering model as formulated by grosz joshi refines the structure of centers of discourse which are conceived as the representational device for the attentional state at the local level of discourse
at the level of discourse pragmatics a richer notion than mere reference between terms is needed to account for coherence relations such as those aimed at by rhetorical structure theory strube and hahn functional centering
figure NUM relationship between entropy and mutual information adapted from
for encoding this information we adopt the framework used in the lexicalization approach of the moose sentence
we also obtained excellent results in word sense disambiguation
for example for r s contribution to be recognized as an answer there must be a of an answer
by shifting our evaluation criteria away from resolution success data to structural conditions reflecting the proper ordering of center lists in particular we focus on the most highly ranked item of the forward looking centers these criteria are intended to compensate for the a significant improvement in the results is
to describe sentence meaning we use the ideational structure
although it has been cfiticised for being vague and presumptuons and for presenting generalisation accuracies that can be improved easily with other learning methods it was the first paper to investigate gtapheme phoneme conversion as an interesting application for general purpose learning algofithms
terich kiid and on general quality demands of text to speech applications an error of NUM NUM on phonemes and NUM NUM on words can be considered adequate though still not excellent
make the same criticism of biber and of and restrict their experimentation on genre recognition to surface cues
sekine while and have focussed on the narrower but clearly related questio n of genre
this operation is not commutative
the core organization of mike however is more akin to a subsumption because the agents are regarded as behavior modules which are both directly connected to the external environment through sensor readings from the shared memory and can directly produce system behavior by suggesting commentary
genetic algorithms have also been successfully used for the categorization
pd employs a wide range of techniques whose applicability depends on such factors as design goals group size availability of users for long periods and the like
the problem of complex nps was pointed out by
all adjustable parameters in the ir system were left unchanged from their values in our trec ad hoc experiments or cited papers except for the number of documents used as the basis for the lca which was estimated at NUM from scaling considerations
the algorithm for fast translation which has been described previously in some detail and used with considerable success in trec is a descendent of ibm model NUM
the custom window is automatically generated from the configuration information that is associated with each module e.g. for the buchart module this data structure actually a tcl describes the tipster objects that a module requires to run the objects it produces and the types of viewers to use for visualising its results
figure NUM shows an example text produced using the path encoding operations iterations just under NUM minutes score i80
we briefly reports a correct word score of NUM on free text test material yielded by the probabilistic morphological analyzer morpa
in fact potential implicatures may undergo a change in status from cancelable to noncancelable in the
two necessary but not sufficient properties of conversational implicatures involve cancelability and
it is well known that fully lexicalised grammar formalisms such as ltag are difficult to parse with efficiently
morphological links from celex in the celex morphological each lemma is associated with a morphological structure that contains one or more root lemmas
secondly the use of thesauri envisaged in both and does not address the question of topical aptness
this would help in situations where input consists of multiple articles or a continuous stream as in
it relates differences in coherence in part to varying demands on inferences as required by different types of referring expressions given a particular attentional state of the hearer in a discourse setting grosz NUM NUM
therefore a node in the tree is not implemented as a single elementary question but as a modified decision tree in itself called a pylon
clark studied how different factors may influence the responder s confidence that the literal meaning of a question was intended and confidence that a particular indirect meaning was intended
the exploitation of semantic links extracted from wordnet in term variant extraction does not suffer from the problem of ambiguity pointed out for query expansion
igtr e daelemans van den bosch is a top down induction of decision trees tdidt algorithm
the classical nettxle paper by sejnowski and can be seen as a primaxy source of inspiration for the present study it has been so for a considerable amount of related work
the expression dlf x igtb be can function with any feature weighting method such as gain for all experiments reported here information gain was used
argue that by using n fold cv preferably with n NUM one can retrieve a good estimate of the true generalisation error of a leaxning algorithm given an instance base
the applicability conditions of the obtain info ref act such as the condition that agent1 believe that agent2 knows the information are based on criteria and
null garside describes idiomtag which is a component of a part of speech tagging system named claws
another reason against using single neighboring word comes from where it is argued that as many as NUM NUM context words might be needed to have high disambiguation accuracy
hidden markov models are widely used for statistical language modelling in various fields e.g. part of speech tagging or speech recognition
argues that it is useful to be able to encode irregular lexical entries as inheriting by default from the output of lexical rule application e.g. the entry for children could inherit from the result of applying a lexical rule for plural formation to the entry for child but override the orthography
there have been a number of previous definitions of default unification including those given by van den russell carroll and
we then propose a relatively simple yet effective method for resolving translation disambiguation using mutual information mi statistics obtained only from the target document collection
the model described above was implemented and tested in a system for appointment scheduling
a possible solution for automatic acquisition of sense tagged corpora has been presented in but the corpora acquired with this method has not been yet tested for statistical disambiguation of words
grice has proposed a theory of conversational implicature to account for certain types of conversational inferences
a link grammar applied to data can conceivably be used to extract some interesting relations that live at the syntax semantics interface
adjectives are somewhat slighted by the system as their wordnet description in terms of bipolar attributes is largely ignored
another reason is that since receiving an offer is preferred to making by making a prerequest q gives r the opportunity to offer whatever q would request in t3 i.e. the sequence would then consist of just t1 and t4
a yes no question often may be interpreted as a prerequest for another request i.e. it may be used in the first position of the sequence NUM we are reporting only cases where the extra information may be used as an indirect answer
the only known algorithms for computing asymmetric default unification are factorial in the number of atomic fss in the
thus since a communicated proposition is presumed to be relevant to this plan construction process the dialogue participants are obligated to communicate as soon as possible any discrepancies in belief about such propositions and to enter into a negotiation subdialogue in which they attempt to square their disparate beliefs
this estimate may get worse as conditions such as synonymy and hyponymy are checked for each word pair to extend the notion of lexical cohesion e.g. using wordnet as in
types and the type hierarchy have been implemented by adapting the encoding schema proposed by to the tfl format
for geppetto we chose the participatory design methodology henceforth pd which falls in the third class
the output of the generation algorithm is a discourse plan that can be realized by a tactical
hirschberg claims that speakers may give indirect answers to block potential unintended scalar implicatures of a yes or no alone
how rst can be u d to make predictions regarding anaphora resolution in a text can be
from a slightly different was concerned with differences in salience between similar verbs
all other things devoted a dissertation to the topic of salience in nlg
considered chemical treatment against disease and disease treatment as substitution variants whereas in our study after transformation they would be a case of leftexpansion l exp
cross language information retrieval clir deals with the use of queries in one language to access documents in another
to evaluate the above models we employ trec NUM text collection trec topics and smart information retrieval system
as ball advises selecting this category is crucial and requires or else our results will be invalid
the underlying relation can only be made explicit if conceptual knowledge about the domain viz the relation part of between the concepts rechargebat terycell and 316lt is available see hahn markert for a detailed treatment of the resolution of inferables
while this paper gives a comprehensive picture of a complex yet not explicitly spelled out theory of discourse coherence the centering model grosz joshi marked a major step in clarifying the relationship between attentional states and local discourse segment structure
so we screened sample data from the literature which were already annotated by centering analyses for english we considered all examples discussed in grosz joshi and brennan friedman
and brennan friedman is that the latter use two shift transitions instead of only one smooth shift NUM requires the cb ui to equal cp ui while rough shift requires inequality table NUM
the first column contains those generated by the naive approach such a proposal was made by gordon grosz as well as who nevertheless restricts it to the german middlefield
the tobi annotation scheme involves labeling the accented words intermediate phrases and intonational phrases with high and low accents
speech repairs occur where the speaker goes back and changes or repeats what was just as illustrated by the following
black and view the pos tags and word identities as two separate sources of information
although decision tree letter language models are inferior to their n gram counterparts the situation should be reversed for word language models
church at mit implemented a swedish regular expression grammar inspired by ideas from
cass swe has been integrated in the general architecture for text engineering gate
in fact we have developed fast mt algorithms expressly designed for translating large collections of documents and queries in ir
this task integration is also used in the nettalk model
tdidt is a widely used method in supervised machine
conversely the synsets extracted from wordnet are classes of disambiguated lemmas and therefore correspond to the second technique
such an extension may improve on the assessment of textual saliency and connectivity thus providing better generic summaries as argued in
finally we perform thresholding to filter irrelevant words following the guidelines set out by
they usually exclude words with a very high fequency of occurrence especially closed class words such as determiners prepositions and
takes this approach and reports a performance equivalent to the uniform extension with relatively much low complexity of the model
association for computational linguistics computational linguistics volume NUM number NUM was more satisfactory in this respect but not without its problems see section NUM NUM
the erg itself has been developed without making use of defaults up to this point using the disco page system but it also runs within the
the stochastic finite state machine learning algorithm in is designed in such a way that it can recognize any possible sequence of basic unit while minimizing the number of parameters states and transitions
in order to apply the centering model to pronoun resolution they use rule NUM in making predictions for pronominal reference and redefine the rules as follows quoting walker iida rule NUM if some element of cf ui NUM is realized as a pronoun in ui then so is cb ui
some of the best results were reported who uses a large training corpus
this results in three objects manufacturer audi manufacturer and manufacturer
in NUM it functions as a signal by means of which the speaker introduces a new topic here it opens up the conversation constituting the first utterance in the dialogue in example NUM it serves to give feedback to the hearer indicating perception and understanding and also basic agreement with the
in spite of their important quantitative role discourse particles have so far been neglected in automatic speech processing if they are identified at all then only in order to eliminate
the distribution of bigrams in the training data is as follows with roughly NUM bigram probabilities allowed to vary in the topic sensitive models this approach raises one interesting issue the language model in the root assigns some probability mass to the unseen events equal to the singletons mass
in a concurrent collaborative effort implemented clustering and topic detection techniques similar on those presented here and computed a maximum entropy topic sensitive language model for the switchboard corpus yielding NUM perplexity reduction and NUM NUM word error rate reduction relative to a baseline maximum entropy trigram model
kiefer observes that several types of yes no questions when used to perform indirect speech acts have the property that one or both of the binary answers i.e. yes or no used alone is an inappropriate response to them
the only exception is in where the reported performance for the sole semantic disambiguation task of pns is NUM
a recent study established that the baseline performances of the pn recognition task for several languages and application domains vary between NUM and NUM
for example ny mble learns names using a trained approach based on a variant of hidden markov models
newer systems such as use a sentence planner to make decisions at clause level between the strategic and tactical component
with the exception of scott and most research in aggregation did not transform clauses into modifiers such as adjectives pp or relative clauses in a systematic manner
conventional ltag parsers maintain a parse table a set of items corresponding to complete and partial constituents
this treatment is very suitable to translate very short query on web the queries on web are NUM NUM NUM words on the
NUM the head feature principle hfp which states that the head value of the mother is identical to that of the head daughter is unchanged from earlier work on hpsg e.g. NUM and is not default
the semspec language is a subset of the input representation language that was developed for penman the sentence plan language
for more details on the kinds of mono and multilingual variation produced by moose and on the lexicalization algorithm
extending tails this way is useful for the treatment of lexical rules as discussed in
the usual assumption about conflicting defaults is that they do not result in an inconsistent knowledge state
the present algorithm thus provides an interesting case of what happens with extremely poor syntactic input even poorer than in kennedy system
in a recent paper note that one refinement of dual route modeling that goes beyond drc in its current form is the idea that different gpc rules might have different strengths with the strength of the correspondence being a function of for example the proportion of words in which the correspondence occurs
as has often been emphasized rule strength effects emerge as a natural consequence of learning and processing mechanisms in parallel distributed systems see van orden pennington
the fourth column reports the results using the full model which accounts for interactions with speech repairs and the benefit of using silence information
the annotation process is more interactive than in the penn treebank approach where a sentence is first preprocessed by a partial parser and then edited by a human annotator
these combine the variety of available evidence each one usually annotated by a specific weight factor and finally map the weights to a single salience score haji ovg these heuristics helped to improve the performance of discourse understanding systems through significant reductions of the available search space for antecedents
employ a total of eight input maps based upon orientation intensity chromatic components and temporal change along with provision for external i.e.
suzanne ruccs rutgers edu empirically induced models that learn a linguistically meaningflll seem to give tile best practical results in statistical natural language processing
one of the reasons wily these models perform so well compared to probabilistic context free grammars is that they incorporate detailed lexical knowledge at all points in tile
we adapted the conceptual framework of conjunctive relations from quirk in which cue terms such as in summary and in conclusion are classified as conjuncts used for summarizing
two programs were implemented that compute measures of content similarity one based on word frequency essaycontent and the other on word weight argcontent as in information retrieval
mutual information or their transition likelihood as e.g.
the cascaded finite state mechanism we use in this work is a finite state cascade consists of a sequence of strata each stratum being defined by a set of regular expression patterns for recognizing phrases
it seems to us that swedish language researchers are satisfied with the description and apparently the implementation on a small scale of finite state methods for noun phrases only
first proposed this notion to chain semantically related words together via a thesaurus while we chose only repetition of the same stem word
NUM in general an applicability condition is a condition that must hold for a plan operator to be invoked but that a planner will not attempt to
however large scale grammars for swedish do exist employing other approaches to parsing either radically different such as the swedish core language engine or slightly different such as the swedish constraint grammar
by pre processing we mean i the recognition of multi word tokens phrasal verbs and idioms ii sentence segmentation iii part of speech tagging part of speech tagger and the eagles tagset for swedish
we therefore believe that it is desirable that defaults be explicitly marked and as shown by this is a necessary condition for the order independence of default unification criterion NUM below
the utility of persistent defaults in the interface between the lexicon and pragmatics was discussed in some detail in and from a more linguistic perspective in lascarides and copestake in press
few other grammar workbenches include an elaborate test module and only comprises a test suite which is integrated similarly to gtu
the ontology used in this work is a hierarchical model of the real world
like other approaches to identifying rhetorical structure rasta recognizes cue phrases as a valuable source of evidence
the latter underperformed on and is not reported here
in the recent works and employ dictionaries and co occurrence statistics trained from target language documents to deal with translation ambiguity
to evaluate the performances we used in addition to the classical precision measure the information gain
in addition to speeding up tag stream parsers it seems reasonable to assume that the demeriting system would work in other classes of parsers such as the lexicalised model as long as the parsing technique has some sort of demeritable ranking system or at least some way of paying less attention to already filled positions the kernel of the system should be applicable
the maximization search can be efficiently implemented by using the viterbi like dynamic programming procedure described
additionally we have used them successfully on the trec clir task
NUM however the rule does not require that r be certain that q was making an indirect request
b co occurrence model co model we adopt the strategy discussed previously for translation disambiguation
hybrid approaches integrate both lexical and corpus knowledge
we will follow our previous work which combines the dictionary based and corpus based approaches for ceir
the mutual information ml x y is defined as the following formula
on the other hand has presented a model for distinguishing connectives which link two propositions using some pragmatic constraints
the extent of agreement about the segment boundary and the hierarchical structure is calculated using modified cohen s kappa presented by
we introduce null tokens between each pair of words i NUM and wi which will be tagged as to the occurrence of these events
tile descriptive categories were based on those proposed for tile verbmobil corpus
similarly as well as the restrictions that we have seen introduced by coordination the svo grammar of english means for that embedded subjects in english are correctly predicted neither to extract nor take scope over their matrix subject in examples like the following null NUM a a boy who m i know that admires john coltrane b
this last count was chosen because only certain lexical semantic classes of verbs excluding mmrgative verbs can occur as adjectives
we have also demonstrated in our domain translation task that multiple context words are useful
this is related to the concept of trigger pairs and singular value decomposition
we will use a greedy optimization algorithm
a different approach would be to maintain such knowledge about adjacency pairs and expected continuations in a transition network separate from the discourse recipes as was done by
domain and problem solving actions have been investigated by many researchers
unfortunately it masks differences between such a phrasal parser and one which can use lexical information to make informed decisions between complementation and modification possibilities NUM we therefore also evaluated the baseline and lexicalised parser against the NUM test sentences marked up in accordance with a second grammatical relation based gr annotation scheme described in detail by carroll briscoe
in a comparison between entries for NUM common verbs acquired from NUM NUM million words of text and the entries given in the ozford advanced learner s dictionary off current manning s system achieves a precision of NUM and a recall of NUM
this is the case in passage retrieval since windows of NUM bytes or some hundred have been proposed as best passage sizes
the consequences of a change from a closed open to a closed closed configuration of the drm model have been studied elsewhere for more details see
in fact researcher have successfully exploited the substance based approach in explaining vowel systems using a perceptually driven maximum acoustic dispersion criterion
the regions NUM and NUM of the back part of the model correspond to the places of articulation of pharyngeal plosives ai dakkak
account for this behavior in terms of different landing sites or in gb terms functional projections at the level of lf for the different types of quantifier
for the correct identification of phrases in a korean query it would help to identify the lexical relations and produce statistical information on pairs of words in a text corpus
in most languages although to a varying extent the mapping from print to sound can be characterized as quasi systematic plaut mcclelland seidenberg
in figure NUM we plot the probability of correct classification versus the probability of false rejection for different speech recognition language models and the same classifier
this algorithm for extracting phrases from a training corpus is similar in spirit but differs in the language model components and optimization parameters
peirce s and a mathematical formalisation of peirce s ideas in r wille s theory on formal concept analysis
texts that are available in two languages also play a pivotal role in various less automated applications
webber p NUM NUM and and in unpublished work by kratzer
our information retrieval systems consists of first pass scoring with the okapi formula on unigrams and symmetrized bigrams with en des de and allowed as connectors followed by a second pass re scoring using local context analysis lca as a query expansion technique
an improved estimate can be obtained by the em algorithm
coreference resolution summarization hypertext linking automated essay grading and topic detection and tracking
al cowie guthrie using simmulated annealing alone on the same test set
recently several research projects have focused on spelling correction for many types of errors including those from
use underspecified tree descriptions to represent sets of trees during parsing
table NUM dtg compaction results from
kawasaki takida and tajima NUM language model and sentence structure manipulations zenshiro kawasaki keiji takida language model and sentence structure manipulations for natural language applications systems
we do not have space to derive these formulae here but they can be found
the sitspec instantiates concepts from a domain model which is implemented in the kl one language loom
we will use a simple example in order to illustrate the operation and to contrast it with the pdu operation discussed in
to determine the word classes one can use the algorithm of which finds the classes that give high mutual information between the classes of adjacent words
yet there is a general consensus that redundancy should not be a primary concern in the design of a standard representation as syntactic schemes often differ from each other in the way levels of information are mutually implied rather than in the intrinsic nature of these levels
our purpose in this paper is to explore a technique for identifying whether a set of texts belong to the somers NUM use weighted cusums to identify an attempt to use weighted cusums to identify sublanguages
the first strand concerns the identification of rhetorical relations by fairly superficial means
in his well known took a number of potentially distinct text genres and measured the incidence of NUM different linguistic features in the texts to see what correlation there was between genre and linguistic feature
as explain this weighting means that we are calculating the cumulative sum of the difference between the observed number of feature occurrences and the expected number of occurrences p
a preposition is an overt indicator of the relationship between m and h chapter NUM so a correlation is more likely between the preposition and the nmr than between a given m or h and the nmr
thereby amalia makes dual use of its chart and forms a complete bidirectional natural language system which is considered an advantage in the
this approximation as given in is
the method is based on a programming paradigm called dynamic programming see e.g.
we do not use any syntactic relationship as in because such relationship is not available for mixed language sentences
informa null tion gain is a measure of mutual information the reduction in uncertainty of a random variable given another random variable
techniques for interpreting indirect speech acts can be used to determine whether the rule s antecedent holds
claim that politeness strategies which may at times conflict with gricean maxims account for many uses of language
human origin europe a more detailed explanation of these issues is presented in beale and viegas1996
we are currently enhancing the functionality of the mts system in the following areas l a more recent and detailed description can be found in
given a potential topic boundary we call the text before the boundary region NUM and the text after it region NUM for the sake of our algorithm the size of these regions was fixed at NUM words the average size of a topic segment in our training corpus NUM files from the hub NUM broadcast news corpus annotated with topic boundaries by the
some strongly co related chinese words in rocling balanced corpus huang are i g tie NUM xian4 ling3chu NUM
a chinese thesaurus i.e. k tong2yi4ci2ci21in2 mei and an english thesaurus i.e. roget s thesaurus are used to count the statistics of the senses of words
dictionary based approach exploits machine readable dictionaries and selection strategies like select all randomly select n and select best n hayashi
experience shows that practical application of such an approach to a non trivial subset of the language can be a highly complex
although the above statement was made about translation problems faced by human translators recent research suggests that it also applies to problems in machine translation
to compare the results with other similar attempts the vocabulary consists of only the NUM most frequent words and a special unknown word that replaces all the others
they are derived from proverb s proof communicative acts
using automata for parsing has a long history dating back to transition
however for simplicity we assume here a fixed parser control strategy bottom up anchor out and do not pursue this point further offers some discussion
connolly burger treat anaphora resolution as an ml classification problem and compare seven classifier approaches with the solution quality of a naive hand crafted algorithm whose heuristics incorporate the well known agreement and recency indicators
halliday s process classification has been further developed for nlg purposes by c matthiessen j bateman and others see for instance matthiessen
other count nouns such as gallows and barracks show variable agreement even when referring to a single object
define an order independent version of default unification using reiter s to model the operation
these rules may include long distance dependencies not handled by ttmm taggers and can conveniently be expressed by the replace operator
a b type fst with NUM and a NUM is equivalent to an no type fst and with NUM and a NUM it is equivalent to an nl type
in early identified several privileged positions such as first and last sentences
since this paper is concerned almost exclusively with the discourse level of the dialogue model we will not discuss the overall tripartite model further except to note that the construction of a new discourse tree requires that the system identify its relationship to existing or new actions at the problem solving and domain levels
the concept of accommodation removing obstacles to the speaker s goals suggests that a listener might recognize a surface negative question as an expression of doubt by accommodating a belief about some incompatibility between the proposition conveyed by the surface negative question and a proposition that might be doubted
further examples of structures recognized by the parser are shown in figure NUM a more detailed description of the annotation mode can be found in
unlike a b who used an ann to simulate a deterministic finite state automaton fsa representing a regular grammar we have extracted fsa s from a network trained on a natural language corpus
some current meth null ods have a generate and filter approach all constructic ns are generated and then filtered based on a sl atistical model
effectiveness was automatically calculated by comparing the system results against a user defined tagged corpus via the muc
have developed a formal theory in which agents are jointly committed to accomplishing a goal so both parties have individual intentions to accomplish the goal as part of their joint commitment
for segmentation applying machine learning techniques to learn weights is a high priority
for data resources curmingham freeman comparative and task based evaluation collaborative research and software level robustness efficiency and portability
al cowie guthrie used simulated annealing kirkpatrick gelatt a numerical optimisation algorithm to make this process tractable
here i will present a small study of the tense endings of anmajere verbs anmajere is an australian language data is from avery
versions of this simple technique can be and while an interesting practical implementation is described by
null many languages have sional morphology where one morpheme expresses multiple semantic manning NUM the segmentation problem in morphology learning the segmentation problem in morphology learning
to consider an example from latin nouns given the noun forms on o and on inem the phonetic material in common is going to be on
this paper addresses the area of text generation known as microplanning levelt1989 panaget1994 huang and fiedler1996 or sentence planning rambow and korelsky1992 wanner and hovy1996
elhadad et a1 NUM recognizes that constraints on lexical choice come from a wide variety of sources and are multidirectional making it difficult to determine a systematic ordering in which they should be taken into account
in this paper we propose an input data oriented division of the microplanning task similar to the way many incremental generators de smedt1990 reithinger1992 kilger and finkler1995 divide the task of surface processing
using the partitions shown in dotted lines however hg only examines NUM combinations in general hg is able to process semantic analysis and generation problems for natural language in near linear time beale et a1 NUM
this has greatly simplified knowledge acquisition in general nirenburg et a1 NUM and made it easier to adapt analysis knowledge sources to generation as well as to convert knowledge sources acquired for one language to use with texts in another
segmented discourse representation is enriched by the ranking system developed in centering theory
ct proposed by offers a text comprehension model that describes the relation between the focus of attention and the choices of referring expressions within a discourse segment
chill uses inductive logic lavra and to learn a deterministic shift reduce parser written in prolog
we build a subset s c incrementally by iterating to adjoin a feature f e which maximizes log likelihood of the model to s this algorithm is called the basic feature selection
for this proposed em algorithm which was basis of forward backward algorithm for the hidden markov model hmm and inside outside for the pr0babilistic context free grammar pcfg
the framework of the em algorithm is based on the so called q function where is the new estimate obtained from the previous estimate
the same point is convincingly argued who also provides an algorithm for mapping a constituency based representation onto a dependency based format
in the analyzer awkward paraphrases with adjectives could be improved by replacing adjectives with their wordnet giving for example charity benefits from charitable donation instead of charitable benefits from charitable donation
in an attempt to avoid the hand coding required in other automatically extracts semantic features of nouns from online dictionaries
furthermore a full parse contradicts in a certain way schneider NUM lexically lntensive algorithm the real ambitions of and flat finite state analyses are getting more and more popular and efficient
the concluding analysis follows the firthian notion of knowing a word by the company it keeps a postulate which emphasizes the fact that certain words have a strong tendency to be used together
the descriptions of rhetorical relations in for example studiously avoid all mention of the correlates of discourse structure
make an interesting proposal that fp s may have something to do with the listener s perception of disfluent speech
the data wall street journal wsj in acl dci cd rom which consists of NUM NUM NUM occurrences of part of speech tagged
we selected at most four senses for each verb the best sense from among the set of the collins dictionary and is determined by a human judge
their methods associate each sense of a polysemous word with a set of its co occurring
NUM NUM tape NUM
in order to estimate the entropy of english approximated p ki unk by a poisson distribution whose parameter is the average word length a in the training corpus and p cz cklk unk by the product of character zerogram probabilities
this work also has ties to the work on automatic construction of translation lexicons
for further discussion of the type template distinction in the context of a default inheritance system see
similarly we need not go into the details of the corresponding models though for example
in we combined automata by introducing a new initial state with e transitions to each of the original initial states 3a further difference is that the traversal encoded in the automaton captures part of the parser s control strategy
null in the current implementation of concept coupling a definite clause grammar dcg rule generator has been developed
sthe classification of types of sentences originates in the work in japanese
rhetorical or have been used in several text generation systems to aid in ordering parts of a text as well as in content planning
quantitatively the studies yielded a total mutual information gain of NUM NUM bits using wall street journal data with one trigger per word
in the following we use the terms and discuss only those aktionsart features that are directly relevant for us because they relate types of situations to denotations of verbs
halliday in his classification essentially adopts the basic tesni rian distinction and suggests some semantic and syntactic criteria for deciding between actants which he calls participants and circumstances
there must exist a global synchronization of the partitioning of contexts by rules the long
we shall show here how to extract from a proof net a functional term representing the semantics see
fox if this is what is prescribed it is reasonable to hypothesize that professional writers will try to avoid the click here syndrome
but relative frequency should be a measure of the number of times something occurs within the number of opportunities for it to occur emphasis
rather we have a case in which the author has shifted his deictic center mentally much reports that speakers do when giving directions
he makes note of the deictic center the zeropoint of deictic context which is always egocentric for
moreover we feel shared resources for segmentation evaluation should be established to aid in a comprehensive cross method study and to help alleviate the problems of significance of small scale evaluations as discussed in
this analysis is similar to but distinct from the NUM assume that arb p knows what scopes it is in by the same mechanism whereby a bound variable pronoun knows about its binder
in summary of the results of these and similar studies identify no less than eleven subgroups within the indo european family
the algorithm in the present paper operates in a top down manner being very similar to earley which is emphasized by the use of the dotted items
map rules define how the content of a tmr is related to the syntactic structure of the target language
other realizations of this rs subtree are offers a similar range NUM
we assume the following framework a discourse structure tree loosely based on rst serves as input to the sentence planner
we therefore experimented with weighing each feature by information gain a number expressing the average entropy reduction a feature represents when
future work will include investigating more principled probabilistic models addressing immediate lower level shortcomings in the current system as discussed in section NUM NUM above adding mod ification gr annotations to the test corpus and extending the parser to also return these and working on incorporating selectional preference information that we are acquiring in other related
they consider systematically a number of alternative probao bilistic formulations including and implemented systems based on other underlying grammatical frameworks evaluating their adequacy from both a theoretical and empirical perspective in terms of their ability to model particular distributions of data that occur in existing treebanks
kessler applied levenshtein distance to irish gaelic dialects with remarkable success and extended the application of his techniques to dutch dialects similarly with respectable results
describe a system capable of distinguishing NUM verbal subcategorisation classes a superset of those found in the anlt and comlex syntax dictionaries returning relative frequencies for each frame found for each verb
NUM donkeys as skolem terms one example of an indefinite that is probably better analyzed as an arbitrary object than as a quantified np occurs in the following famous sentence first brought to modern NUM every farmer who owns a donkey beats it
for a detailed discussion of morphological phenomena in dutch see de
it follows that the that only quantified arguments of a single possibly composed function can freely alternate scope places an upper bound on the number of readings
bayer have noted related restrictions on scope alternation that would otherwise be allowed for arguments that are marooned in mid verb group in german
as points out the process of combining multiple classifiers to achieve higher accuracy is given different names in the literature apart from committee machines combination classifier fusion mixture of experts consensus aggregation classifier ensembles etc
discussed thatshow an ambiguity regarding the disc oune structm in order to express the ambiguity formally an underspecification mecha null nism is
such a module has the task of realizing the associated unit while communicating with other objects around it if necessary similar to de smedt1990
we argued in section NUM NUM that a unique result is preferable in order to avoid multiplication of disjunctive structures but disjtmctive results might be useful in cases where there are multiple alternative structures e.g. in modeling dreamed dreamt see russell
automatically setting the weights using cross validation on the training set had little effect on overall performance
these findings are incompatible with current implementations of the dual route theory
in this section we describe the cognitive architecture actrr NUM which is well suited for user adaptive explanation generation because of its conflict resolution mechanism
these definitions were all based on kaplan s sketch of and are asymmetric since one feature structure fs is taken to be indefeasible while the other is defeasible
in we argued for the role of defaults both in descriptions of the lexicon and grammar and to allow the linguistic component to make defeasible proposals to discourse processing pragmatics
second the definition of subsumption changes first some notation re f re means NUM r re NUM r re where r is the root node of the tfs
fsts for light parsing phrase extraction and other text analysis
in searching for the best sequence of pos tags for the transcribed words we follow the technique proposed by and only keep a small number of alternative paths by pruning the low probability paths after processing each word
the proposed question is then verified using heldout data if the split does not lead to a decrease in entropy according to the heldout data the split is rejected and the node is not further explored
for a categorical variable c it searches over questions of the form is c e s where s is a subset of the possible values of c we also allow restricted boolean combinations of elementary questions
networks the performance of a committee machine and can outperform that of the best single network used in isolation
in this study c4 is used as learning program
NUM NUM on unknown words in texts
the legs have powerful claws NUM adapting the animal for rapid digging into referential continuity anaphora deixis and referential continuity are strongly cohesive devices
the criterion for measuring the quality of a language model p wlh is the so called log likelihood criterion which for a corpus wl wn wn is defined by
the three interpolation parameters must be normalized am NUM c i at NUM the details of the m gram model are similar to those given in
in this paper we study the use of so called word trigger pairs for short word triggers to improve an existing language model which is typically a trigram model in combination with a cache component
this system utilizes a trained hmm and accounts for most
there exists research where bigram statistics are used for the deterruination of the weight matrix of a neural
the detailed explanation of mutual information and adapting the formulations for automatic word categorization process could be found
in sift s statistical model augmented parse trees are generated according to a process similar to that
use an anticipation feedback loop algorithm to generate elliptical utterances
for a more detailed discussion with relevant linguistic motivations please see
the first baseline method is similar to where we use the nearest neighboring word of the secondary language word c as feature for disambiguation
however in most cases where c is a single word there might be some other words which are more useful for disambiguating c in fact such long distance dependency occurs frequently in natural
we did not account for false positives and error chains but marked the
however morpho syntactic features alone can not verify the terminological status of the units extracted since they can also select non
as we noted in parallel corpora are rare in most domains
parameters using dan melamed s implementation of good turing smoothing and additional ad hoc smoothing to account for unknown words
furthermore we have emphasized that lexical choice should be seen as a constraint satisfaction process who focused his attention on nouns while we have concentrated on verbs
the idea of using the lexicon early in the generation process is not new it has been realized in several other generators for example in the frame oriented system diogenes
another obstacle to practical use is the equivalent of hidden left recurs on known from traditional lr parsing which we have shown to be present in the grammar for english
we achieve a NUM increase in accuracy and recall levels over
we want to expand and ref me our definition of the types of segment function to include more distinctions such as the difference between
our sense tagger uses the machine readable version of longman dictionary of contemporary english ldoce to provide the semantic tag set
however has found evidence that there is a correspondence between the order in which sense are listed and the frequency of occurrence
in a pure ie perspective the information for a structure analysis is provided by a foreground
conceptually this step is very similar to that used by shallow parsing approaches such as
911igh resolution visual processing is dependent upon alignment of fovea and stimulus normally achieved in primates through rapid eye and head movements in a process known as overt attention
we are using brill s part of speech tagger as an important preprocessing component of our
the chunk parser is a chart based context free parser originally developed for the purpose of semantic frame
the nbest lists are generated from lattices that are produced by the janus speech recognizer
the acquisition of the semantics of natural language spatial terms is considered within the cognitive framework introduced and the computational framework of the berkeley l0 project feldman et
the english document set consisted of NUM years comprising NUM stories originally occupying NUM mb
we drew our instances from the celex lexical data base
we are interested in the idea that learners can benefit from viewing parallel sentence aligned text as has been explored for cross training of french speakers learning haitian
henceforth gold98 introduces an edge based technique instead of constituent based which drops the average edge count into the hundreds
the automatically generated lexicon of concepts consists of NUM entries describing objects 1results on dialogue management has been
ponte and croft predict topic boundaries using a model of likely topic length and a query expansion technique called local content analysis that maps sets of words into a space of concepts
in her dissertation levy described a study of the impact of the type of referring expressions used the location of first mentions of people and the gestures speakers make upon the cohesiveness of
the utility of defaults in linguistic representation has been widely discussed for an overview see daelemans de smedt
however the slashed notation used in figure i can not in general contain sufficient information to ensure order independence as was shown in
in previous we described a method of finding topic boundaries using an optimisation algorithm based on word repetition that was inspired by a visualization technique known as
in their empirical study on the characteristics of task oriented dialogues reported that in instruction dialogues on assembling a pump cue phrases such as okay now and next occur at the beginning of NUM NUM of the new segments that instruct assembly actions in telephone dialogues
in terms of rhetorical structure theory rst it is considered that the basic structure of such kind of discourse is constructed by connecting segments that refer to goals or primitive actions with sequence relation
all communication among modules is mediated by the internal symbolic representation of commentary 2in natural language processing the multi agent approach dates back to hearsay ii which was the first to use the blackboard architecture
although the list of nmrs was inspired by the relationships found commonly in others lists it has not undergone a more rigorous validation such as one described in
uses corpus based techniques together with knowledge based techniques in order to induce a lexical sublanguage grammar
knight et al aim to scale up grammar based knowledge based mt techniques by means of statistical methods
first most relevance metrics are based on word frequency which can be viewed as a function of the topic being discussed
it is very frequent
second the right completor from which roughly corresponds with our adjunctor steps has nine relevant input positions
NUM a step is more accurately called an inference rule in the literature on deductive parsing shieber
much generation literature on aggregation was disguised under the topic revision
the steps presented in pseudoformal notation in section NUM can easily be composed into an actual algorithm shieber
brennan friedman utilize this rule for anaphora resolution but restrict it to single transitions
in her approach this ranking is achieved by thematic roles see
however not all helpful responses in the sense described in can be used as indirect answers
1for example tait ol inuit a fairly unbroken chain of dialects the furthest extremes of the continuum being unintelligib e to one another p NUM
the discourse plan operators based on coherence relations in our model NUM as mentioned earlier the coherence rules for cr contrast as well as the rules for clarify extent indicated make use of notions
beale et a1 NUM overviews how it enables semantic analysis to be performed in near linear time
rubinoff1992 is perhaps the most strongly focused on this issue
we have focused on those alternations that affect the aktionsart of the verb they imply a type change in aspectual classifications such as
for annotating speech repairs we have extended the scheme proposed by so that it better deals with overlapping and ambiguous repairs
by this experiment we try to clarify the upper bound of the performance of the text segmentation task which can be considered to indicate the degree of the difficulty of the task
in our full model we add three variables to account for the correction of speech repairs
in doing this the speech recognition problem is viewed as finding the most likely word sequence 12c given the acoustic
kessler experimented with making the measure more sensitive but found little progress in using features for example
carroll summarise the various criticisms that have been made
cunningham stevenson and wilks NUM implementing a sense tagger hamish cunningham mark stevenson implementing a sense tagger in a general architecture for text engineering
nlp data is wide ranging in scope but has specific characteristics that mean the problems with visualising large amounts of data are less significant
ter identifies concepts in text and unifies them with structures extracted from a hand coded lexicon containing syntactic information logical form templates and taxonomic information
can be solved by one of the numerical algorithm called the improved itera null tire scaling algorithm
we use a simplified version of cross validation to test for the significance of the reduction in entropy
we conclude that entropy methods produce more reliable estimates of the probability distributions for sparse
the language formalism that is utilized in this paper is developed for microcosmos project at new mexico state university and it is called as text meaning representation tmr
given a set of sentences each consisting of an ordered list of words and annotated with a single semantic representation we assume that each representation can be fractured into all of its
the article considers a number of different figures of merit for ordering the agenda and ultimately recommends one that reduces the number of edges required for a full parse into the thousands
a potential problem with this approach is that triggering conditions may differ from the canonical metonymy where a selectional restriction violation is a clear indicator that some kind of relaxation is neces null NUM numerous such name tagging systems with accuracy very near human have been evaluated in the scope of the message understanding conferences mucs and are
there is also group of alternations that reflect a semantic relation that could be arguably treated as either metonymy regular polysemy i.e. handled by lexical rules in our format or by generative or derivational processes such as product for plant or music for dance
we distinguish metonymy from metaphor in that metonymy uses an entity to refer to another related entity from the same domain whereas metaphor necessarily relies on the replacement of an entity from one domain by an entity from another conceptual domain
in the model was improved by model probability reestimation and interpolation with a cache model resulting in better dynamic adaptation and an overall NUM NUM perplexity error rate reduction due to both components
light parsing or extraction of noun phrases or other phrases
here we use the viterbi for efficiency
in some tests s type and b type fsts reached equal tagging accuracy
we based our pos table lookup on nyu s comlex
since the start only few works are concerned with the automatic acquisition of the knowledge bases that are needed for which makes the construction of a new system for a different extraction task still very expensive and says much about the brittleness of traditional ie systems
treatment of proper nouns reqmres the use of a context sensitive
for the researched presented in our previous paper korkmaz manhattan metric was the only metric used for the distance function
although a perplexity test provides a good theoretical measure of a language model it is not always accurate in predicting the model s performance in therefore both perplexity and recognition accuracy were used in this study
for parameter estimation we can use the improved iterative scaling iis algorithm which assumes p to have the form p x y where fi x x y lcb NUM NUM rcb is the indicator function of the i th feature ai the weight assigned to this feature and z a normalisation constant
NUM produced a treaty guarantee of the german french boundary and an arbitration agreement between germany and poland
a discourse analysis component within the microsoft english grammar automatically produces rst analyses of texts
NUM the first of the league of nations as a forum in which nations could settle their disputes
in our paper named a method for improving automatic word categorization such a method using a modified greedy type algorithm supported by the notions of fuzzy logic has been proposed
the possessor modifier in arc1 as shown in figure NUM can be transformed into a pp using of genitive
to guarantee expressibility casper looks ahead into the lexicon but it does not make detailed lexical decisions for efficiency reasons
all use multiple context words as discriminating features
ing a parsing system address the issue of how frequency information can be associated with lexicalised grammar formalisms using lexicalized tree adjoining grammar as a unifying framework
gahl presents an extraction tool for use with the bnc that is able to create subcorpora containing different subcategorisation frames for verbs nouns and adjectives given the frames expected for each predicate
the term context bound in corresponds to the term evoked used by prince
to estimate i see for how to treat contractions as separate words in a speech recognizer
this inhibition serves also to prevent the immediate return of attention to a previously attended site in accordance with psychophysical evidence tipper et
top down inputs to s suggest that attentional control may be located as peripherally as the lgn relying upon back projections from cortical feature maps
phillips proposed a bottom up chart generation algorithm for use with indexed logical forms and categorial grammar in machine translation
minimal recursion semantics has been developed specifically to provide such a flat representation for hpsg
the third strand concerns programmatic descriptions of how a computational discourse analysis with no specific details about how discourse relations might be identified
essentially the same difference holds between moose and gossip iordanskaja kittredge which also emphasizes the importance of lexical choice and paraphrasing abilities
did not investigate the internal structure of events others suggested that this needs to be done e.g.
this is an alternation to make use of it here we have to add directionality and declare one of the two configurations as more basic
firstly genetic is a way of evolving a program that meets some objective criteria and is closely related to genetic
experiments in this domain were
in this paper we focus on the extraction of grammatical rules from trained artificial neural networks and in particular elman type recurrent
the memory based learning algorithm used within mbma is ml m daelemans and an extension of ibi
a final remark on concerns the time complexity in terms of the size of the grammar that they report viz
this is numerically evidenced by the information gain though we are not learning much about products the information gain is higher than for the other categories and also as an absolute value in a NUM NUM bit improvement is among the highest measured values in a comparative experiment
supertagging is one such approach once the supertagger is trained for the domain it could be used in place of the full parser
therefore estimating a natural language model based on the maximum entropy me method has been highlighted recently
the bodies of our discourse recipes are based on work by other researchers dialogues in which we have participated the naturally occurring dialogues that we examined and our hypotheses about how our system might be expanded in the future
this causes rasta to converge on better analyses of a text before producing less
some of these are discussed and others will be addressed in future work
he identified topic boundaries where the lcp score was
the question arises where the exact difference lies between our algorithm and that of and whether their algorithm could be improved to obtain the same time complexity as ours using techniques similar to those discussed above
furthermore our new algorithm is related to many existing recognition algorithms for tags some of which were published
it also goes beyond the approach by see below for further details
additional information is carried by the lexemes for instance in the case of yes agreement and rejection in the case of no
in human computer interaction this prominent quantitative role decreases however they may still constitute NUM NUM of the NUM most frequent words
researchers of this field have an approach to language acquisition in which learning is visualized as developing a generative stochastic model of language and putting this model into
ratnaparkhi introduces several conteztual predicates which provide rich information about the syntactic context of nodes in a tree basically the structure and category of nodes dominated by or dominating the current phrase
its applications range from sentence boundary disambiguation to part of speech and machine translation
as in many other systems the baseline language model used here consists of two parts an m gram model here trigram bigram unigram and a cache part
shriberg has shown that representing fp s in a language model helps decrease the model s perplexity
words like this and these may often be used to flag that the writer has not changed
to assess the relative contribution of each eval null uation measure to performance we use paradise to derive a perfo rmance function from our data
following paradise we defined a key for each scenario using an attribute value matrix avm task representation as in table NUM
combined a rule based and a corpus based method i in this paper a tagger is identical to a morphological analyzer
figure NUM abacha sani criteria NUM and NUM together constitute the traditional minimal definition of a narrative sequence is one in which a series of tensed clauses reports a sequence of events with the linear order of the clauses expressing the events matching the realworld temporal order of those events
NUM due to length restrictions we have omitted a part of the algorithm that deals with focusing heuristics that are not needed for the kinds of utterances addressed in this paper an example of utterances needing the full algorithm is given in
and zero crossings the percentage of sentences for which the analysis returned has zero crossings see grishman
in our experiment we have used the feature vectors which are developed by vieregge a c m rietveld we earlier used the spe features as these were modified for dialec3it would be rash to argue from this to any phonological conclusion about the diphthongs
daan s work is accompanied by a map that also appears in the atlas of the netherlands as plate 4it should be noted that incorporate native speakers subjective judgements of dialect distance in their assessment their arrow method
it does not however take into account several hard issues such as plural anaphora generic definite noun phrases propositional anaphora and deictic forms but see eckert for a treatment of discourse deictic anaphora in dialogues within a centering type framework
the two versions differ with respect to the incorporation of a subset of inferables in the second version and hence with respect to the requirements NUM in we assumed that the information status of a discourse entity has the main impact on its salience
another possible motivation for giving NUM v after NUM iv might be to delay giving e.g. if the speaker believed that a yes was an unexpected or unwanted answer to NUM i
NUM this terminology was adopted from rhetorical structure theory discussed in section NUM NUM our notion of shared belief is similar to the notion of one sided mutual belief
as discourse researchers have pointed out the asking of a yes no question creates the expectation that r will provide the answer green and carberry indirect answers directly or indirectly if possible
explains its use in the present application at some length
for accessibility we devote in the initial sections a considerable proportion of space to an introduction to categorial grammar oriented towards proof nets
hcad the semamics principle is extended as to three principles semantic itead inheritance principle stiip
the problem is that semantic information in standard hpsg is fragmented into quantificational content nuclear content and context
can be considered as a related work
points out that i a long intervening discourse segment can make it difficult to return back to earlier mentioned discourse referents and ii discourse referents introduced in a subordinated segment can easily be carded over to a higher segment e.g.
since discourse markers such as because and and have been shown to play a major role in rhetorical we also consider a list of features that specify whether a lexeme found within the local contextual window is a potential discourse marker
we used a corpus of NUM rhetorical structure trees which were built manually using rhetorical relations that were defined informally in the style of NUM trees were built for short personal news stories from the muc7 coreference corpus NUM trees for scientific texts from the brown corpus and NUM trees for editorials from the wall street journal wsj
addition of a partial to determine what a finite clause is
note that lr like parsing algorithms were proposed by
ggi suffers from the scaling problem as the size of the custom graph quickly becomes unmanageable
it has a layout algorithm based on the method used by davinci to minimize arc crossing
to identify more markers we worked with traditional dictionaries and with grammars like quirk and helbig
the tree is encoded in the description logic loom and the propositions are represented following the ontology used in the moose
errors in this dimension lead to misinterpretations that must be resolved by a dialog manager
similar approaches have been pursued for a large french ltag and for the xtag english grammar
following the idea first proposed in we extend the idea of abstraction over lexical anchors
however some general considerations suggest that the algorithm from is inherently more expensive
NUM a full discussion of the give background action and its recipe can be
for further explanation see section NUM second the first three antecedents of adj NUM and adj NUM can be split off to obtain adj NUM adj NUM and adj NUM justified by principles that are the basis for optimization of
the authors have developed an o nt time parsing algorithm for bilexicalized tree adjoining improving the naive o n s method
our subjects commented that intonation and facial gesture might alter their interpretation of the utterances in the dialogues we are beginning research that will take these kinds of evidence into account carberry
for instance in informal german human to human communication their frequency ranges between NUM NUM and NUM NUM
only by interpolating it with a word based model is an improvement
as indicated in in terms of natural language generation cue usage consists of three problems occurrence whether or not a cue should be included placement where the cue should be placed and selection what cue should be used
for the representation of linguistic knowledge this system uses the semantic network language ernest i
we evaluated parser accuracy on the unseen test corpus with respect to the phrasal bracketing annotation standard described by rather than the original susanne bracketings since the analyses assigned by the grammar and by the corpus differ for many constructions NUM
mcmahon and smith also use the bigram statistics of a corpus to find the hierarchical
we prefer the term optimization used by which describes the phenomenon of aggregation more appropriately it use fewer words to convey the same amount of information
these kinds of expressions of doubt can be realized as surface negative questions or tag questions and are often accompanied by the cue word but as in the following example taken from the harry gross financial planning dialogues in which s2 s last utterance expresses doubt at sl s recommendation i would like to see that into an individual retirement account rollover in a mutual fund group
a number have investigated the use in discourse of special words and phrases such as but anyway and by the way
the latter phenomenon cf the examples in the next section and the in depth treatment in hahn markert is usually only sketchily dealt with in the centering literature e.g. by asserting that the entity in question is realized but not directly realized grosz NUM
the basic unit for which the centering data structures are generated is the utterance u since grosz joshi and brennan friedman do not give a reasonable definition of utterance we method for dividing a sentence into several center updating units figure NUM
brennan friedman extend the ordering constraints in cf in the following way we rank the items in cf by obliqueness of grammatical relations of the subcategorized functions of the main verb that is first the subject object and object2 followed by other subcategorized functions and finally adjuncts
these features are packed in feature vectors for each pair of an anaphor and its possible antecedent and used to train a decision tree employing quinlan s c4 NUM algorithm or a whole battery of alternative classifiers in which hybrid variants yield the highest scores connolly
the centering model differs from these considerations in that it aims at unfolding a unified theory of discourse coherence at the linguistic attentional and intentional level hence the search for a more principled theory based solution but also the need for almost perfect linguistic analyses in terms of parsing and semantic interpretation
after a brief in null computational linguistics volume NUM number NUM troduction into what we call the grammatical centering model actually a recap of grosz joshi in section NUM we turn in section NUM to our approach the functional model of centering
beale1997 describes hg in detail
indeed with the exception of a few researchers elhadad et a1 NUM and the incrementalists listed below the task oriented view is standard in the generation community
its application with both our automatically derived clusters and mangn s manually derived used as initial partitions actually yielded a small increase in conditional entropy and was not pursued further
the least abstract level corresponds to a proof in gentzen s natural deduction nd calculus
as point out even a simple sentence such as she saw kim can not be generated with this approach to head driven generation with hpsg
jokinen gives an overview of the plus system and describes the planning of dialogue responses to be passed to the surface generator as indexed qlf representations
manning acquire subcategorization information for verbs
the use of a hard instead of a soft clustering algorithm is justified by the that the verbs do not belong to more than one inflectional category or lemma
the relationship between qualifiers in nlca and operators in the semantically based hierarchy of role and reference grammar would be a potentially useful area to investigate
these features specify whether a discourse marker that introduces expectations such as although was used in the sentence under consideration whether there are any commas or dashes before the estimated end of the sentence and whether there are any verbs in the unit under consideration
the multimodal module uses guided propagation networks which provide what we call multimodal recognition scores incorporating the score provided by the speech recognizer
section NUM covers some alternative and extended definitions including one that makes use inequalities
eschewing the somewhat involved details it suffices here to state that a proof structure is well formed a module partial proof net iff every cycle crosses both edges of some i link
thus every lambek proof can be read as an intuitionistic proof and has a constructive content which can be identified with its intuitionistic normal form natural or what is the same thing under the curry howard correspondence its normal form as a typed lambda term
recent work by suggests that kullback leibler divergence or cross entropy can be meaningfully measured from small samples in some cases as small as only NUM or so words
as developed the entropy of a stationary ergodic message source is the amount of information typically measured in bits yes no questions required to describe the successive messages emitted by that source to a recipient
for example has identified a hundred basic concepts that are in theory part of the basic vocabulary of a language and thus resistant to borrowing and replacement and subject only to the slow evolutionary pressures of linguistic change
hirschberg implemented a system that determines whether a yes or no alone licenses any unwanted scalar implicatures and if so proposes alternative true scalar responses that do not
NUM the presence of an explanation is a distinguishing feature of dispreferred responses to questions and other second parts of
quite omen knowledge extracted from neural networks is in the form of propositional rules but these are not always the most appropriate format for explication of network learning
for morphological analysis of estonian we use the morphological analyser that assigns adequate morphological descriptions to about NUM of tokens in a text
the development of disambiguator is in process but NUM NUM of words become morphologically unambiguous and the error rate of this disambiguatot is less than NUM
the main idea of the constraint is that it determines the surface level syntactic analysis of the text which has gone through prior morphological analysis
timo j rvinen the author of syntactic part of engcg reported that the error rate is NUM NUM NUM and ambiguity rate ca NUM
the syntactic tags of estonian constraint grammar estcg are derived from tag set of english constraint grammar engcg with some modifications considering the specialities of estonian
for a more thorough review
suggest that the grammatical distinction between paratactic clause combining including coordination apposition and quoting and hypotactic clause combining including various kinds of clausal subordination represents the grammaticization of the two different kinds of rst relation
our evaluation corpus exhibited a weak level of agreement among judges which we believe correlates with the low level of performance of automatic segmentation programs as compared to earlier
for example NUM note that we do not believe that there are undiscovered signal forms and we do not believe that text form can ever provide a definitive basis for describing how relational propositions can be discerned
the second strand in contrast to the first strand eschews an examination of the form of a text in favor of reasoning with more abstract representations such as predicate representations of linguistic content and axiomatic representations of world knowledge
one point that we glossed over slightly is the use of atomic fss within a typed framework as opposed to the untyped fss assumed
to measure task success we compared the scenario key and scenario execution avms for each dialogue using the kappa statistic
the extended version assumes a detailed treatment of a particular subset of inferables so called functional anaphora in hahn markert functional anaphora are referred to as textual ellipses
this is the type of discourse to which centering was mainly applied in previous approaches see for example or di test sets
in a seminal paper wrapped up the results of their research and formulated a model in which three levels of discourse coherence are distinguished attention intention and discourse segment structure
in agreement with recent results on parsing with lexicalised probabilistic our main result is that statistics over lexical features best correspond to independently established truman intuitive preferences and experimental findings
the following classic garden path example demonstrates tlm sew re processing difficulty that can be associated with the main verb reduced relatiw mv rr NUM the horse raced past the barn fell
the transitive form of an unergative 2b is the causative counterpart of the intransitive form 2a in which the subject of the intransitive becomes the object of the transitive levin
object NUM enhancement of activation is accomplished via temporal tagging modulation of the spike train through a time varying poisson process
one can also use pos tags which capture the syntactic role of each word as the basis of the equivalence
such results confirm the relevance of non specialized semantic links in the extraction of specialized semantic variants
the lexicons learned by wolfie are compared to those acquired by a comparable system
the notion of syntactic derivation embodied in ccg is the most powerful limitation on the number of available readings and allows all logical form level constraints on scope orderings to be dispensed with a result related to but more powerful than
the proposal to translate indefinites as skolem term like discourse entities is anticipated in much early work in artificial intelligence and computational linguistics p NUM NUM p NUM cf
the axchitectu e of the m a g y s system is inspixed by the word pronunciation subsystem of the mit klk text to speech system allen hunnicutt
when the mitalk system is faced with an unknown word sound1 produces on the basis of that van den bosch weijters and daelemans NUM word a phonemic transcription with stress markers allen hunnieutt
this similarity is computed by applying in the a cosine based metric on the morphed segments
this sort of situation can be avoided by making use of inequalities as
dutch has a rich system of diphthongs which moreover have been argued to be phonologically
reading for sentence 5b subjects the category of the transitive verb to argument lifting to make it a function over a type raised object type and the coordination rule must be correspondingly semantically generalized
NUM dynamic high impedance microphone NUM dynamic high impedance microphone the bracketing problem for noun noun noun compounds has been investigated by among others
grammar fragment acquisition is performed through kullback liebler divergence techniques with application to topic classification from text
then we categorized the decoded speech input into call types using the salient fragment classifier developed
furthermore dialogue management allows for focus tracking as well as clarification subdialogues to further improve the
this requires flexibility in processing of the utterances and is a further development of the ideas described in
it is an architecture in the sense that it specifies a macro level organisationai pattern for the various components and data resources that make up a language processing actually at present only text processing system
have proposed new interaction styles to replace conventional goal oriented dialogues
the implemented system was assessed by means of a formative to test its general usability and the quality of the proposed solutions
for identifying allomorphs of depends heavily on a notion of phonetic material in common
the nature of the relation in both cases is that of predication however in the 1however for some qualifying remarks on this topic
moreover since this architecture can predict what is salient for the user and what he can infer it could be used as a basis to decide whether or not to include optional information
most of them adapt to the addressee by choosing between different discourse strategies since proofs areinherently rich in infer ences their explanation must also consider which inferences the audience can make
relatedness for example relies on peirce s epistemological argument saying that there is no judgment of pure observation without reasoning
mainstream research on multi agent systems has given rise to a number of environments and programming languages for building simulations consider for example swarm gaea or akl but none of these systems have been designed for specifically linguistic experimentation
both uses have very similar meanings since for these verbs intransitive uses imply a patient in contrast to kick for instance but as pointed and computational linguistics volume NUM number NUM others the intransitive uses have more specific default interpretations
a variant of the problem is considered by and who look at it from the point of view of optical character recognition ocr
framework to test this framework data was examined from NUM trains NUM dialogs a series of human human problem solving dialogs in a railway transportation domain
e maih aac c csli stan eord edu NUM we will assume a notion of types very similar to although we use the opposite polarity in hierarchies i.e. for us the most general type is t top details are
we present results of experiments with elman recurrent neural trained on a natural language processing task
null for example blend drt with ct
in previous work we have shown the effectiveness of incorporating manually selected phrases for reducing the test set perplexity NUM and the word error rate of a large vocabulary recognizer
having computed the distance matrix the words are hierarchically clustered with a compact linkage NUM in which the distance between two clusters is the largest distance between a point in one cluster and a point in the other cluster
clustering words into classes has been used to overcome data sparseness in word based language models
there are three problems that a cross language ir system using a query translation method must
borrowing an entity that does refer to another discourse entity already introduced is called discourse old or hearer old while an entity that does not refer to another discourse entity is called discourse new or hearer new
grosz joshi also define two rules on center movement and realization sequences of continuation are to be preferred over sequences of retaining and sequences of retaining are to be preferred over sequences of shifting
an elaborate description of several of these preference criteria is supplied by who discuss among others heuristics involving case role filling semantic and pragmatic alignment syntactic parallelism syntactic topicalization and intersentential recency
a discourse segment is defined as a paragraph unless its first sentence has a pronoun in subject position or a pronoun whose syntactic features do not match the syntactic features of any of the preceding sentence internal noun phrases
we achieved consistent results for the grammatical and the functional approach for all the examples contained in grosz joshi but found diverging analyses for some examples discussed by brennan friedman
the total divergence to the average based on the kl distance produced comparable results but the the cosine produced significantly poorer results
we are presently developing a model where the probability of the state content noisy of a term is determined by uncertain inference using a technique for representing and handling uncertainty named probabilistic argumentation systems
the higher values should be given to s n n NUM at the segment boundary points than non boundary 4we use the kadokawa ruigo shin jiten as japanese thesaurus
in the area of speech recognition to improve the accuracy of the language models clustering the training data is considered to be a promising method for automatic
there exist several methods of calculating a similarity curve or a sequence of similarity values representing the lexical cohesion of successive constituents such as paragraphs of text see e.g.
present summarization use such clues to calculate an importance score for each sentence choose sentences according to the score and simply put the selected sentences together in order of their occurrences in the original document
since there was no source available to build an idiom dictionary of this size we collected them manually from scratch following a method
we compared our system to that
ot duty in a parallel french text the correct sense of the enghsh word is identified these studies exploit th s lnformatmn m order to gather co occurrence data for the different senses which ts then used to dtsamb guate new texts in related used patterns of translational relatmns in an enghsh norwegian paralle
we provided a definition of default unification known as yadu which intuitively models the incorporation of the maximal amount of default information into the result by version of asymmetric default unification to the situation where default and nondefault information is distinguished in a single structure and defaults may have different priorities
this is the analog of the operation called deffill in lascar but in contrast to pdu yadu deffill simply amounts to taking the defeasible structure constructed as described above since this is guaranteed to be a valid tfs that is more specific than the indefeasible structure
we adopt mutual information church to measure the strength
by means of an artificial neural network classificator it was determined whether the eight classes described in the previous section can be assigned automatically on the basis of a selection of structural and pragmatic features
distinguish if and when by their different values for the feature modal status when has the value actual while if has the value hypothetical
as a second major source of information for the automatic disambiguation of discourse particles a significant correlation between certain dialogue acts domain specific speech acts and certain discourse functions the context specific readings of discourse particles was determined
the experiment evaluated the semantic
finin produces multiple semantic interpretations of modifier noun compounds
in practice however one would like to augment this with common sense knowledge on human computer interaction as
in the same way that the interpretation of the natural language expressions in the ptq is given indirectly through the translation to intensional logic which has a model theoretic semantic interpretation the interpretation of expressions of l is given indirectly through its translation to expressions of g as shown in figure NUM
null the intuition for choosing the nearest neighboring word ey as the disambiguating feature for c is based on the assumption that they are part of a phrase or collocation term and that there is only one sense per collocation
cunningham stevenson and wilks NUM implementing a sense tagger collection jhome ipete rr gatelb m kl the nature of the database where each module produces a specific set of annotation types means that it is possible to view partial results of execution without recourse to buffering intermediate data
the text is tagged using the brill and a translation is carried out using a manually defined mapping from the syntactic tags assigned by brill penn tree bank tags marcus santorini onto the simpler part of speech categories associated with ldoce senses NUM
this paper is about two things a novel hybrid sense tagger for unrestricted text and the experience of developing this system within gate a general architecture for text engineering cunningham wilks
the approach to parsing proposed in this paper was implemented in the ie module of facile a eu project for multilingual text classification and ie
pairwise document similarity may be based on a range of functions but to facilitate comparative analysis we have utilized standard cosine similarity d d1 d2 d1 d2 and ir style term vectors see salton iidx ih lid2
our model mbma memory based morphological analysis is a memory based learning system
ldoce is a learners dictionary one designed not for native speakers of english but for those learning english as a second language and has been used extensively in machine readable dictionary research cowie 3this is often loosened to each content word
we performed experiments on NUM NUM english wordforms from celex and predicted the lower granularity tasks of predicting morpheme boundaries van den
secondly we optimise over entire paragraphs at a time rather than just sentences this is done because there is good evidence gale church that a wide context of around NUM words is optimal when disambiguating using domain codes
and papers in the recent NUM
this is because either the information can be visualised as colored markup on the text meaning that the text can be displayed using traditional textual or the information is grouped over small segments of text such as paragraphs or sentences
interpreting such responses which we refer to as indirect answers requires the hearer to derive a
for a more complete description of the workings of rasta the reader is
in our implementation we used the subject domain codes provided in the machine readable version of cide cambridge international dictionary of
however it has been known that with a simple use of bilingual dictionaries in other language pairs retrieval effectiveness can be only NUM NUM of that with monolingual retrieval
although it is possible to apply a high quality machine translation system for documents as in query translation has emerged as a more popular method because it is much simpler and more economical compared to document translation
on the other hand many of these systems work in a real world environment in which noisy data and incomplete sometimes even faulty analysis results have to be accounted for
for example report on a gui based discourse tagging tool dtt that allows a user to link an anaphor with its antecedent and specify the type of the anaphor e.g. pronoun definite np etc
our own work on the centering model NUM brings in evidence from german a free word order language in which grammatical role information is far less predictive of the organization of centers than for fixed word order languages such as english
in this paper we propose an architecture for its dialog planner based on the theory of human cognition act r
mangu observed that closed class function words fw such as the of and with have minimal probability variation across different topic parameterizations while most open class content words cw exhibit substantial topic variation
the explicit representation of the addressee s cognitive states proves to be useful in choosing the information to convey
the regular expressions are translated into finite state automata and the union of the automata yields a single deterministic finite state level recognizer
the rule s antecedent would hold whenever obstacle detection techniques determine that h s not knowing the referent of t is an obstacle to an inferred plan of h s
inference of coherence relations has been used in modeling temporal lascarides and other defeasible
experiments indicate that most readers can guess more than half of the letters in running text based on their expert knowledge of the lexicon structure and semantics of english
in contrast traditional generation control mechanisms work top down either deterministically or by backtracking to previous choice
the linguistic features and used in this experiment involve the number of words of a given length and or beginning with a vowel as listed in table NUM
the corresponding to ece where c is a plosive consonant are obtained by the model when only regions NUM NUM and NUM are used
another way in which the definition could be varied would be to omit the generalization step from dejfs which ensures that the default result of a tdfs is a single tfs and to have a credulous variant of deffs instead which would be analogous credulous asymmetric default unification definition NUM credulous deffs let f be a tdfs i t
it is also not directly suitable for encoding lexical rules it is conventional to write lexical rules using a sort of default notation that is intended to be interpreted as meaning that the output of the rule is identical to the input except where otherwise specified but formalizing this calls for an asymmetric notion of default see briscoe
indeed it is noted in that the consonant d can not be obtained in the vocalic context i without the third formant
studied the boundary between d and g by changing the rate and direction of the third formant only while the first two formants were changed for a b d contrast
and investigated the relationship between cue placement and selection
george disputes the claim that levi s non predicating adjectives never appear in predicative position
our semi automatic allows for any number of adjective or noun premodifiers
warren describes a multi level system of semantic labels for noun noun relationships
a number of possible measures frequency of original search word in document nearness of multiple search words in the full document correct relative frequencies of the words desired cluster signatures can be used to indicate if the retrieved documents are similar to each other
given a few basic independence assumptions this value can be calculated as
and gold98 use a figure which indicates the merit of a given constituent or edge relative only to itself and its children but independent of the progress of the parse we will call this the edge s independent merit im
we chose NUM million words of broadcast news for this computation and defined co occurrence as occurring within NUM words approximately the average document length
the soccer system described in andr combines a vision system with an intelligent multimedia generation system to provide commentary on short sections of video recordings of real soccer games
while a mathematician communicates a proof on a level of abstraction that is tailored to the audience state of the art proof presentation systems such as proverb verbalize proofs in a nearly textbook like style on a fixed degree of abstraction given by the initial representatio n of the proof
this method known as thinking aloud permits an easy detection of the problematic parts of the human computer interaction as well as to understand how users perceive the
moreover we wanted to work within the paradigm proposed by where language using agents construct a shared language through repeated interactions with a precise structure
while the portability of java was tempting we eventually decided on common lisp with its more powerful symbol and list manipulation facilities
following the ideas set forth in candito constructs a description hierarchy in much the same way as the present work albeit for a smaller range of constructions than what exists in the xtag grammar
shriberg shows that the rate of disfluencies grows exponentially with the length of the sentence and that fp s occur more often in the initial position
to consistently implement a change in the grammar all the relevant trees currently must be edited individually although we do have an implementation of becket s which allows us to automate this process to a great extent
distribution gate and a muc NUM style information extraction system that comes with it is free for academic research see http v des
NUM NUM page NUM and is similar to an example of grice s
since a more general theory to referring expressions is needed an extension is presented by
combining the automata for several trees can be achieved using a variety of standard
outline a technique for compiling ltag grammars into automata which are then merged to introduce some sharing of structure
according to one study of described in section NUM NUM of responses to certain yes no questions were indirect answers
to summarize the results of our empirical evaluation we claim first that our proposal based on functional criteria leads to substantially improved and with respect to the inference load placed on the text understander whether human or machine more plausible results for languages with free word order than the structural constraints given by grosz joshi and those underlying the naive approach
since in this paper we will not discuss the topics of global coherence and discourse macro segmentation for recent treatments of these issues see hahn we assume a priori that any centering data structure is assigned an utterance in a given discourse segment and simplify the notation of centers to cb ui and cf ui
co occurrence statistics is collected from either bilingual parallel and non parallel corpora or monolingual
part of the pronoun resolution performance here enables a preliminary comparison with the results reported in NUM and NUM
words can be grouped into classes and these classes can be used as the basis of the equivalence classes of the context rather than the word
they are commonly estimated by deleted interpolation
evaluation is performed automatically using the evalb evaluation software
the situation can be compared to database management systems each system is based on a specific data model and a data manipulation sublanguage designed for the data model is provided to handle the data
in the experiments reported in this paper van den bosch weijters and daelemans NUM different morpho phonological sub tasks are investigated for each sub task an instance base training set is constructed containing instances produced by windowing and attaching to each instance the classification appropriate for the sub task under investigation
in terms of incorrectly processed test instances shavlik mooney obtain better performance with the back propagation algorithm trained on distributed output NUM NUM errors than with the decision tree algorithm NUM NUM errors both trained and tested on small non overlapping sets of about NUM NUM instances
it points out that rhetorical cue words and structures can be identified and used for computer based discourse hovy vander
according to there are three types of syntactic variations in french coordinations coot insertions of modifiers modif and compounding decompounding comp
this approach is similar to an experiment in except that bear et al were more interested in reducing false alarms
this metarule and our other metarules can be viewed declaratively as specifying allowable patterns of phrase breakage and interleaving
ecc is a simpler NUM the constraints are presented slightly since he sometimes omits features on paths when specifying constraints but for the sake of clarity we show full paths here
these commands constitute our phonological repertoire and may be viewed as analogous to the gestures proposed by
as it can be seen from this table reported an average accuracy of NUM NUM for nouns NUM NUM for verbs NUM NUM for adjectives and NUM NUM for adverbs slightly less than our results
there are also hybrid methods that combine several sources of knowledge such as lexicon information heuristics collocations and
a method that disambiguates unrestricted nouns verbs adverbs and adjectives in texts is presented in it attempts to exploit sentential and discourse contexts and is based on the idea of semantic distance between words and lexical relations
as indicated in it is difficult to compare the wsd methods as long as distinctions reside in the approach considered mrd based methods supervised or unsupervised statistical methods and in the words that are disambiguated
the action to be carried out by the interface for task related questions depends on the specification of values passed to the objects and properties
similar approaches are proposed in for instance the work on flexible parsing and in speech systems cf
in this work we have chosen to use patr ii but in the future constructions from a more expressive formalism such as efluf could be needed
one bootstraps a parser to induce many unconventional semantic relations from dictionary data
the real estate pets and financial planning dialogues were transcribed from radio talk shows the taxes and dialogues were transcribed from tapes of simulated interactions and the university courses dialogues were carberry and lambert modeling negotiation subdialogues transcribed from student advisement sessions
for instance it is possible to force the unifier to consider in the first place the paths that have been observed to cause more frequent
there are of course many types of web pages discusses the different genres found
optimization is the algorithm we proposed
they made an additional distinction between obligatory and optional chapter NUM proceeded to propose six different levels of valency binding
then report a NUM accuracy for an algorithm that approximates lappin and leass s with more robust and coarse grained syntactic input
in horacek s approach to generating a set of propositions representing the full explanation is pruned by eliminating propositions that can be derived from the remaining ones by a set of contextual rules
for instance report an NUM accuracy for a resolution algorithm for third person pronouns using fully parsed sentences as input
for example the inference that r department of mathematical sciences greensboro nc NUM NUM t department of computer and information sciences NUM based on an example on page
we ran these transcripts through a a speech recognizer constrained to recognize what was transcribed in order to automatically obtain silence durations
a way of measuring the effectiveness of the estimated probability distribution is to measure the perplexity that it assigns to a test corpus
in the query translation experiments our implementation of query expansion corresponds to the posttranslation expansion of
although this expectation would indeed require custer NUM position paper on turing test position paper on appropriate audio visual turing test
grammatical functions are heuristically recognized using the topographical scheme originally developed for danish in which the relative position of all functional elements in the clause is mapped in the sentence
observation i is related to the notion of distituent grammars a distituent grammar is a list of tag pairs which can not be adjacent within a constituent ii is a supplement of i which recognizes formal indicators of subordination co ordination such as conjunctions subjunctions and punctuation
a very proceedings of eacl NUM general description of swedish grammar was presented
for the evaluation of cass swe we use three types of texts i a sample taken from a manually annotated swedish corpus of NUM NUM words with grammatical information ii newspaper material and iii a test suite for non common constructions by consulting swedish syntax literature
attractive properties such as conceptual simplicity flexibility and space and time efficiency have motivated researchers to create grammars for natural language using finite state methods
appropriate smoothing techniques show better performance than the first order models and is considered a state of the art
charniak describes the standard hmm based tagging model as equation NUM which is the simplified version of equation NUM
it is partially based on a treatment but the use of yadu enables a more satisfactory encoding of the central intuition which is that agreement usually but not always follows the semantics
there is another approach to language identification which has a certain genre identification amount in common with ours described in a patent by
agirre and rigau use a conceptual distance formula that was created to by sensitive to the length of the shortest path that connects the concepts involved the depth of the hierarchy and the density of concepts in the hierarchy
gtu s features have been published before see jung l icharz or volk jung
these models can lead to a prosodic quality that is superior to the one generated by tts systems which apply general prosody models for unrestricted text see p NUM
more generally we enumerate the words samuelsson NUM linguistic theory christer samuelsson linguistic theory in statistical language learning
created by a verb an instance of a major predication may explain how that verb binds its arguments together in a bundle of interlocking relationships
plan recognition has been used to model the interpretation of indirect speech acts discourse phenomena that share with conversational implicature the two necessary conditions described above cancelablity and speaker intention
magic automatically generates multimedia briefings to describe the post operative status of a patient after undergoing coronary artery bypass graft cabg surgery
attribute value structures in the alep
because sentences with coordination constructions can express a lot of information with few words many text generation systems have implemented the generation of coordination expressions with various complexities
these aggregation operations result in long distance dependencies and non constituent coordinations conjoin ing constituents with different syntactic types the analysis also indicates that people prefer using linguistic devices that are simpler e.g. words over phrases over clauses scott
on a first pass this re casting is exactly that it does nothing new or different from the original provides a longer informal introduction to this approach
we used the edr japanese corpus version to train the language model
talmy listed a number of morphological and syntactic means to distribute salience across the elements of a clause
the chinese word it yin2hang2 is unambiguous but its english translation bank has NUM
we took each wordform and its associated analysis and created task instances using a windowing method
state of the art systems for morphological analysis of wordforms are usually based on two level finite state transducers
the semspec is then handed over to a surface generator for english and a variant developed at faw ulm for german
yadu has been implemented within the latter system replacing the earlier version of default unification
an atomic fs is defined i.e. it can not be decomposed into simpler fs
due to sparseness of data one must define equivalence classes amongst the contexts wli NUM which can be done by limiting the context to an n gram language
to learn which words behave similarly used the clustering algorithm of to build a hierarchical classification tree
found that a class based language model results in a perplexity improvement for the lob corpus from NUM for a word based bigrarn model to NUM for a class based bigram model
this question is relevant as there is evidence in the literature of human parsing preferences that is in apparent disagreement with predictions of preferences derived from frequencies in a corpus
in syntactic relationship is used to find the most powerful trigger word
models that can handle non independent lexical features have given very good results both for part of speech and structural
performance measures of statistical parsers show that statistics based on one word give poor results but that statistics on bigrams have much better
the results are consistent with the idea in
this has a strong relationship to optimization of
this distinguishes it from both unification and systemicnetwork
however we plan to remedy these problems by using statistical information extracted from the penn treebank corpus to rank tagged lattices and parse forests
magerman and others describe implemented systems with impressive accuracy on parsing unseen data from the penn treebank marcus
we ran the subcategorisation acquisition system on the first NUM million words of the bnc for each of these verbs saving the first NUM cases in which a possible instance of a subcategorisation frame
csubj vs zsubj and ccomp vs zcomp respectively in which case it 4shortcomings of this combination of annotation and evaluation scheme have been noted and others
show the need to distinguish the intentional and informational structure of discourse where the latter is characterized by the sort of relations classified as subject matter relations in rst
a manual inspection lines of training data tokens threshold NUM shows that errors are somtimes clustered although quite weakly
thus to produce vowels the first two formants appear to be sufficient the third one either being deduced from the first two or is a speaker specific
it is this type of tube sostructured in regions that forms the basis of the distinctive region model drm mrayati
describe a method for acquiring syntactic and semantic features of an unknown word
we think that alvey gde carroll briscoe and pleuk are good examples of such environments
this data oriented approach is similar to that taken by many incremental generators de smedt1990 reithinger1992 although these tend to concentrate on syntactic processing
earlier experiments performed on the tasks investigated in this paper have shown that classification errors on test instances are indeed consistently and significantly decreased when modules are trained on the output of previous modules rather than on data extracted directly from c lp x
these sets can be further split into the elements NUM familiarity scale
although we use the mutual information statistic to measure the association others such as those used by can be considered
amongst other works one can cite hpsg and most recently a proposal by berwick and epstein
the third is that which is what it is owing to things between which it mediates and which it brings into relation to each other
this keyword selection is done with a morphological analyzer and a stochastic part of speech pos tagger for the korean language
other cases are only dealt with in the focusing framework such as propositional anaphora
for details of the classification scheme
we follow the proposal defined syntactic annotation group which recognizes a number of syntactic metasymbolic categories that are subsumed in most current categories of constituency based syntactic annotation
other aspects of our ontology are designed following in particular his analysis of movement events
recall that this operation involves partitioning the tail and then carrying out a step similar to asymmetric default unification as for each partition
characterizes kappas of NUM to NUM as fair NUM to NUM as good and over NUM as excellent
here pos tags are viewed as part of the output of the speech recognizer rather than intermediate objects
tables of grapheme phoneme associations henceforth gpa were derived from a corpus of NUM NUM french one to three syllable words from the brulex database content mousty which contains orthographic and phonological forms as well as word frequency statistics
the opposite view based on the parallel distributed processing framework assumes that the whole set of grapho phonological regularities is captured through differentially weighted associations between letter coding and phoneme coding units of varying sizes plaut seidenberg
although simple to implement we have not explored the notion of rule strength in the drc model because we are not aware of any work which demonstrates that any kind of rule strength variable has effects on naming latencies when other variables known to affect such latencies such as neighborhood size and string length are controlled
we believe that this is consistent with the idea of using trigger pairs and singular value decomposition
refinements in this direction of the annotation of the grammar used by the xtag system are actually tinder way
current ltag part of speech taggers called supertaggets assign a set of elementary trees to each word in effect chunking the text
describe an alternative multivariate test using weighted eusurns to compare more than two texts
the fact that information consisting of nothing more than bigrams can capture syntactic information about english has already been noted by
information gain and gain were developed as metrics for automatic learning of decision trees
as a somewhat independent test we applied our methods to the NUM most frequent verbs from a second corpus containing over NUM million words from the
NUM a hierarchical clustering constructs from the bottom up using an agglomerative method that proceeds by a series of successive fusions of the n objects into clusters
by representing the prepositions had obtained improved results
in english objects are typically realized by nouns although the actual mapping might be rather complex beale and viegas1996
all previous parsers aimed at determining the rhetorical structure of unrestricted texts employed manually written rules
in we present a unified framework for learning stochastic finite state machines variable ngram stochastic automata vnsa from a given corpus NUM for large vocabulary tasks
theoretically for such a grammar a weakly equivalent grammar using only a single nonterminal symbol
the axes of a bitext space are measured in characters because text lengths measured in characters correlate better than text lengths measured in tokens
for some related work on the function of redundant information
so lexical selection in this work is mainly based on the meaning distance between the frame being processed and the candidate lexemes
have argued for a plan based theory of implicature as an alternative to grice s theory
a related antecedent is the work on the logic of depiction in which a logic for the interpretation of maps to be applied in computer vision and intelligent graphics is developed
for unknown words p wilunknown word is computed by using the unknown word model
first it has been shown to be the best performer in english contextsensitive spelling correction
this is similar to the problem of connected speech recognition and is sometimes called connected text
second it was shown to be able to handle difficult disambiguation tasks in thai
richmond smith and amitay designed an algorithm for topic segmentation that weighted words based on their frequency within a document and subsequently used these weights in a formula based on the distance between repetitions of word types
for a description of the constraint
the highest performing systems include large numbers of handcoded rules or patterns such as vie the umass system and proteus but lately a high performance has been obtained by the use of statistical methods
the results mentioned in ss6 are related to the closure property of cfgs under generalized sequential machine mapping
corpus based approaches exploit sentence aligned corpora and document aligned corpora
since our training corpus was relatively small we identified these by hand but on a different corpus we induced them
hearst developed a technique called texttiling that automatically divides expository texts into multi paragraph segments using the vector space model from
beeferman berger and lafferty used the relative performance of two statistical language models and cue words to identify topic boundaries
following previous we have tried two types of features context words and collocations
given a suitable grammar with such systematic sharing these algorithms are very efficient especially when implemented with a chart
head driven generation algorithms are based on systematic sharing of logical form between the mother and one of the daughters the semantic head daughter in grammar rules
for noun phrases we assume that the introduction of the term is a point at which a new topic may start this vocabulary management profile
the approach has been implemented in the moose system which uses the penman moose can serve as a plug in sentence production module to a larger text generator
as introduced by valency refers to the distinction between actants and circumstantials central participants associated with the verb versus temporal locational and other circumstances
the curves are generated by varying a salience
list a number of desiderata for default unification which we repeat here with some amendments to the justifications
kupiec and john t maxwell p c and n type and s type
among others it can be composed with transducers that encode correction rules for the most frequent tagging errors which are automatically or manually written in order to significantly improve tagging accuracy NUM
the highest accuracy is obtained with a b type fst with fl NUM and a NUM b fst NUM NUM NUM NUM NUM and with an s type trained on NUM NUM NUM words s nl fst 1m f1 NUM NUM
in figure NUM the tag t can be selected from the class ci because it is between two selected tags d which are t NUM at a look back distance of fl NUM and t NUM NUM at zname given by the author to distinguish the algorithm from n type and s type
with our grateful thanks formation ocr text or using the methods of information and probability
report preliminary results using this technique on a wide coverage dtg a variant of ltag grammar
recent work by and addresses this problem from two different perspectives
the candidate generation routine uses a modification of the standard edit distance and employs the error tolerant finite state recognition to generate candidate words
null one method to do ocr error correction using the above model is to hypothesize all substrings in the input sentence as
