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CIIR weekly lab meetings
Fall 2003
We meet from 11-12 on Tuesdays in CS151. Italics dates are in the past. Bold dates need one or more speakers.
- September 16. Predicting value of query expansion
- September 23. Cross-language issues
- Victor giving a tutorial of statistical machine translation basics PPT:
- Leah talking about the DARPA surprise language exercise.
- September 30. Smoothing
- Alvaro on smoothing at eBay
- Ramesh on a Zhai and Lafferty smoothing paper. PPT
- Chengxiang Zhai and John Lafferty, Model-based Feedback in the Language Modeling Approach to Information Retrieval,CIKM, 403-410, 2001. citeseer
- Chengxiang Zhai and John Lafferty, A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval, SIGIR 334-342, 2001. citeseer
- October 14. Music
- Jeremy/Victor on their ACM Multimedia paper on CRFs for music retrieval
- Vanessa on "Automatic transcription of piano music" by Rafeal, ISMIR 2002 PDF.
- October 21. Arabic
- Nasreen on name transliteration PPT
- Giri presenting "Unsupervised learning of Arabic stemming using a parallel corpus" by Rogati et al, ACL 2003 PS.gz.
- October 28. CIKM practice talks
- Xiaoyan on time-based language models PPT:
- Ao Feng on clustering evaluation in TDT detection PPT:
- November 4. (CIKM is happening in New Orleans.)
- Hema Raghavan on Query-Free News Search (Monika Henzinger et al, WWW 2003)HTML
- James Allan on aligning transcripts and handwriting
- November 11. No meeting; today is Veteran's Day.
- November 18. (TREC is happening in Gaithersburg.)
- Trevor Strohman on IR performance issues PPT
- Fuchun Peng on extracting information from technical papers
- November 25.
- Ben Carterette on BLEU and IR
- Xing Wei on table processing PPT
- December 2.
- Don Metzler on LM and Inference networks PPT
- Ramesh Nallapati on maximum entropy for IR PPT
- December 9.
- Xiaoyong Liu on experiments with clusters and language models PPT
- Margie Connell on cross-language processing for TDT PPT
- December 16.
- Toni Rath on historical manuscript retrieval and recognition
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