ELIT: Core NLP Technology

ELIT: Core NLP Technology

The Emory Language and Information Technology (ELIT) tackles core NLP tasks to answer a wide range of research questions regarding model development, linguistic interpretation, and practical application. This project has produced state-of-the-art models and open-source tools for the following tasks:

  • Tokenization
  • Part-of-Speech Tagging
  • Named Entity Recognition
  • Constituency Parsing
  • Dependency Parsing
  • Semantic Role Labeling
  • AMR Parsing
  • Opinion Mining
  • Coreference Resolution
  • Relation Extraction

Director

  • Jinho Choi - Associate Professor at Emory University

Distributions

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. ELIT: Emory Language and Information Toolkit. He, H.; Xu, L.; and Choi, J. D. arXiv, 2109.03903, 2021.
  4. Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition. Kim, J.; Choi, N.; Lim, S.; Kim, J.; Chung, S.; Woo, H.; Song, M.; and Choi, J. D. Proceedings of the EMNLP Workshop on Multilingual Representation Learning (MRL), 2021.
  5. FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer’s Point of View. Han, S.; Seo, S.; Kang, M.; Kim, J.; Choi, N.; Song, M.; and Choi, J. D. Proceedings of the EMNLP Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC), 2021.
  6. 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.
  7. Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. Xu, L.; Zhang, X.; Zhao, X.; Chen, H.; Chen, F.; and Choi, J. D. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  8. The Stem Cell Hypothesis: Truth behind Multi-Task Learning with Transformer Encoders. He, H.; and Choi, J. D. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  9. Levi Graph AMR Parser using Heterogeneous Attention. He, H.; and Choi, J. D. Proceedings of the International Conference on Parsing Technologies (IWPT), 2021.
  10. Enhancing Cognitive Models of Emotions with Representation Learning. Guo, Y.; and Choi, J. D. Proceedings of the NAACL Workshop on Cognitive Modeling and Computational Linguistics (CMCL) 2021.
  11. XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders. Dong, X.; and Choi, J. D. Proceedings of the International Workshop on Semantic Evaluation 2020 Task 12: OffensEval 2: Multilingual Offensive Language Identification in Social Media (SemEval), 2020.
  12. 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.
  13. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media. Dong, X.; Li, C.; and Choi, J. D. Proceedings of the ACL Workshop on Figurative Language Processing: Shared Task on Sarcasm Detection (FigLang:ST), 2020.
  14. Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing. He, H.; and Choi, J. D. Proceedings of the International Conference on Parsing Technologies: Shared Task on Enhanced Universal Dependencies (IWPT:ST), 2020.
  15. Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. He, H.; and Choi, J. D. Proceedings of the International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2020.
  16. Incremental Sense Weight Training for In-depth Interpretation of Contextualized Word Embeddings. Jiang, X.; Yang, Z.; and Choi, J. D. Proceedings of the AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program (AAAI:SAP), 2020.
  17. The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. Shin, B.; Yang, H.; and Choi, J. D. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  18. ELIT: The Cloud-based Research Platform Where Anyone Can Deploy Their Models. Lai, G.; Shin, B.; and Choi, J. D. Technical Report, ResearchGate, 2018.
  19. Lexicon Integrated CNN Models with Attention for Sentiment Analysis. Shin, B.; Lee, T.; and Choi, J. D. In Proceedings of the EMNLP Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2017.
  20. Deep Dependency Graph Conversion in English. Choi, J. D. Proceedings of the International Workshop on Treebanks and Linguistic Theories (TLT), 2017.
  21. Dynamic Feature Induction: The Last Gist to the State-of-the-Art. Choi, J. D. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.
  22. Intrinsic and Extrinsic Evaluations of Word Embeddings. Zhai, M.; Tan, J.; and Choi, J. D. Proceedings of the AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program (AAAI:SAP), 2016.
  23. It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool. Choi, J. D.; Stent, A.; and Tetreault, J. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2015.