Abstract
Despite recent promising results on the application of span-based models for event reference interpretation, there is a lack of understanding of what has been improved. We present an empirical analysis of a state-of-the-art span-based event reference systems with the goal of providing the general NLP audience with a better understanding of the state of the art and reference researchers with directions for future research.- Anthology ID:
- 2021.emnlp-main.103
- Volume:
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Online and Punta Cana, Dominican Republic
- Editors:
- Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1368–1380
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.103
- DOI:
- 10.18653/v1/2021.emnlp-main.103
- Cite (ACL):
- Jing Lu and Vincent Ng. 2021. Conundrums in Event Coreference Resolution: Making Sense of the State of the Art. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1368–1380, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Conundrums in Event Coreference Resolution: Making Sense of the State of the Art (Lu & Ng, EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2021.emnlp-main.103.pdf