This project aims to develop state-of-the-art models for document-level coreference resolution and relation extraction tasks.
This project is funded by:
- Jinho Choi - Associate Professor at Emory University
- 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.
- 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.
- 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.
- 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.
- 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.