Learning and Language Technologies Symposium

Thursday, May 4, 2023

Poster session 11:00 am - 1:45 pm in Computer Science Building, Room CS 150/151

Research Talks 2:00 - 4:30 pm in in Computer Science Building, Room CS 150/151*

Join us for our first Learning and Language Technologies Symposium! We will be presenting research that addresses how computing can be used to help people learn and how human language can be modeled or mined for those and related challenges. The symposium has two parts: (1) a poster session where undergraduate students (in particular) can have some pizza while they meet doctoral students to learn about how and why they chose to be researchers in these areas, and (2) a series of short talks where graduate students (and undergraduates) and faculty can hear from CICS and visiting faculty on their research in this exciting field.

*Note -- the talks were initially scheduled for the LGRC. They have been moved to the CS Building (Room CS 150/151). Please check back and RSVP so that you get updates in case of any other changes.

Please register in advance (one RSVP site for both the poster session and research talks):



11:00 a.m. to 1:45 p.m. in the UMass Amherst Computer Science Building, Room CS 151

Stop by to talk with Manning CICS doctoral students to hear about their research and to learn about why research could be the career for you. Pizza will be provided.

  • Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages - Ehsan Aghazadeh
  • Efficient and modality independent zero shot event extraction of entities with actor representatives - Erica Cai, Brendan O'Connor
  • ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution - Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O’Connor
  • Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation - Zhiqi Huang, Puxuan Yu, James Allan
  • Gender and Power in Latin Narratives - Marisa Hudspeth, Sam Kovaly, Minhwa Lee, Chau Pham, and Przemyslaw Grabowicz
  • Towards Improving Information Flow: NLP Approaches for Fact-Checking and Content Moderation - Nazanin Jafari
  • Query-driven Segment Selection for Ranking Long Documents - Youngwoo Kim
  • Generalized Weak Supervision for Neural Information Retrieval - Yen-Chieh Lien
  • Query and Document Representation for Tip-of-the-Tongue Known-Item Retrieval - Mahta Rafiee
  • When Large Language Models Meet Personalization - Alireza Salemi
  • Conversational Information Seeking - Chris Samarinas
  • Curriculum Learning for Dense Retrieval Distillation - Hansi Zeng
  • Predicting Prerequisite Relations for Unseen Concepts - Yaxin Zhu


(View recordings of the research talks)

2:00 p.m. to 4:30 p.m. in the UMass Amherst Computer Science Building, Room CS 151

Hear from Manning CICS and visiting faculty about their learning and language technologies research.

Jaime Arguello, UNC Chapel Hill
2:00 pm
Understanding the “Pathway” Towards a Searcher’s Learning Objective

Brendan O’Connor, UMass Amherst
2:30 pm
Event Extraction for Social Science

Negin Rahimi, UMass Amherst
Information Seeking as Learning

Rob Capra, UNC Chapel Hill
3:10 pm
How does AI chat change search behaviors?

Andrew Lan, UMass Amherst
GPT-based Open-ended Knowledge Tracing

Ivon Arroyo, UMass Amherst
4:00 pm
A Bilingual Mathematics Intelligent Tutoring System for Latinx Students

The collaborative work between the UMass Amherst CIIR team and the UNC Chapel Hill team is funded by the National Science Foundation under Grant No. 2106282 and 2106334 (UNC).