Bridging Resolution: A Survey of the State of the Art

Hideo Kobayashi and Vincent Ng.
Proceedings of the 28th International Conference on Computational Linguistics, pp. 3708-3721, 2020.

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Abstract

Bridging reference resolution is an anaphora resolution task that is arguably more challenging and less studied than entity coreference resolution. Given that significant progress has been made on coreference resolution in recent years, we believe that bridging resolution will receive increasing attention in the NLP community. Nevertheless, progress on bridging resolution is currently hampered in part by the scarcity of large annotated corpora for model training as well as the lack of standardized evaluation protocols. This paper presents a survey of the current state of research on bridging reference resolution and discusses future research directions.

BibTeX entry

@InProceedings{Kobayashi+Ng:20a,
  author = {Hideo Kobayashi and Vincent Ng},
  title = {Event Coreference Resolution with Non-Local Information},
  booktitle = {Proceedings of 28th International Conference on Computational Linguistics},
  pages = {3708--3721}, 
  year = 2020}