Resolution and Extraction

This project aims to develop state-of-the-art models for document-level coreference resolution and relation extraction tasks.

This project is funded by:

• Alexa Prize Socialbot Grand Challenge 4 (09/2020 ~ 05/2021)
• Alexa Prize Socialbot Grand Challenge 3 (09/2019 ~ 05/2020)
  

Director

• Jinho Choi - Associate Professor at Emory University

Publications

1. Online Coreference Resolution for Dialogue Processing: Improving Mention-Linking on Real-Time Conversations. Xu, L.; Choi, J. D. Proceedings of the Joint Conference on Lexical and Computational Semantics (*SEM), 2022.
2. Modeling Explicit Task Interactions in Document-Level Joint Entity and Relation Extraction. Xu, L.; Choi, J. D. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
   
3. Evaluation of Unsupervised Entity and Event Salience Estimation. Lu, J.; and Choi, J. D. Proceedings of the International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2021.  
   
4. Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues. Xu, L.; and Choi, J. D. Proceedings of the EMNLP Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC): Shared Task on Anaphora Resolution in Dialogues, 2021.
   
5. Revealing the Myth of Higher-Order Inference in Coreference Resolution. Xu, L.; and Choi, J. D. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.