2016 ImprovingCoreferenceResolutionb

• (Clark & Manning, 2016) ⇒ Kevin Clark, and Christopher D. Manning. (2016). “Improving Coreference Resolution by Learning Entity-Level Distributed Representations.” In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016) Volume 1: Long Papers. DOI:10.18653/v1/P16-1061.

Subject Headings: Clark-Manning Neural Coreference Resolution System, Stanford CoreNLP System; Coreference Resolution, Reinforcement Learning, Deep Learning.

Notes

Resource(s):

• GitHub Repositories:
  • https://github.com/clarkkev/deep-coref
  • https://github.com/stanfordnlp/CoreNLP

Pre-Print(s):

• ArXiv: https://arxiv.org/abs/1606.01323

Other Link(s):

• ACL Anthology: https://www.aclweb.org/anthology/P16-1061/
• DBLP: https://dblp.org/rec/conf/acl/ClarkM16

Related Paper(s)

• (Clark & Manning, 2016) ⇒ Kevin Clark, and Christopher D. Manning. (2016). “Deep Reinforcement Learning for Mention-Ranking Coreference Models.” In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). DOI:10.18653/v1/D16-1245.

Cited By

• Google Scholar: ~ 153 Citations.
• Semantic Scholar: ~ 139 Citations.
• MS Academic: ~ 86 Citations.

Quotes

Abstract

A long-standing challenge in coreference resolution has been the incorporation of entity-level information - features defined over clusters of mentions instead of mention pairs. We present a neural network based coreference system that produces high-dimensional vector representations for pairs of coreference clusters. Using these representations, our system learns when combining clusters is desirable. We train the system with a learning-to-search algorithm that teaches it which local decisions (cluster merges) will lead to a high-scoring final coreference partition. The system substantially outperforms the current state-of-the-art on the English and Chinese portions of the CoNLL 2012 Shared Task dataset despite using few hand-engineered features.

BibTeX

@inproceedings{2016 ImprovingCoreferenceResolutionb,
  author    = {Kevin Clark and
               Christopher D. Manning},
  title     = {Improving Coreference Resolution by Learning Entity-Level Distributed
               Representations},
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational
               Linguistics (ACL 2016), August 7-12, 2016, Berlin, Germany, Volume
               1: Long Papers},
  publisher = {The Association for Computer Linguistics},
  year      = {2016},
  url       = {https://doi.org/10.18653/v1/p16-1061},
  doi       = {10.18653/v1/p16-1061}
}

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2016 ImprovingCoreferenceResolutionb	Christopher D. Manning Kevin Clark			Improving Coreference Resolution by Learning Entity-Level Distributed Representations						2016