Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art

Jing Lu and Vincent Ng.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processnig, pp. 6620-6631, 2020.

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Abstract

Despite the significant progress on entity coreference resolution observed in recent years, there is a general lack of understanding of what has been improved. We present an empirical analysis of state-of-the-art resolvers with the goal of providing the general NLP audience with a better understanding of the state of the art and coreference researchers with directions for future research.

BibTeX entry

@InProceedings{Lu+Ng:20a,
  author = {Jing Lu and Vincent Ng},
  title = {Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing},
  pages = {6620--6631}, 
  year = 2020}