2008 CorefResolCurrentTrendsFutDirec

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Subject Headings(s): Entity Mention Coreference Resolution Task, Entity Mention Coreference Resolution Algorithm.

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Abstract

Coreference resolution seeks to find the mentions in text that refer to the same real-world entity. This task has been well-studied in NLP, but until recent years, empirical results have been disappointing. Recent research has greatly improved the state-of-the-art. In this review, we focus on five papers that represent the current state-of-the-art and discuss how they relate to each other and how these advances will influence future work in this area.


References

  • (CulottaWM, 2007) ⇒ Aron Culotta, Michael Wick, Robert Hall, and Andrew McCallum. (2007). “First-order probabilistic models for coreference resolution.” In: Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT/NAACL).
  • Pascal Denis and Jason Baldridge. (2007). Joint determination of anaphoricity and coreference resolution using integer programming. In: Proceedings of the North American Association for Computational Linguistics and the Conference on Human Language Technology.
  • Aria Haghighi and Dan Klein. (2007). Unsupervised coreference resolution in a nonparametric bayesian model. In: Proceedings of the Association for Computational Linguistics.
  • Linguistic Data Consortium, (2008). ACE (Automatic Content Extraction) English Annotation Guidelines for Entities, version 6.6 2008.06.13 edition.
  • Xiaoqiang Luo. (2007). Coreference or not: A twin model for coreference resolution. In Human Language Technologies 2007]]: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, April.
  • Andrew McCallum and Ben Wellner. (2005). Conditional models of identity uncertainty with application to noun coreference. In: Proceedings of the Conference on Neural Information Processing Systems (NIPS).
  • Vincent Ng and Claire Cardie. (2002). Improving machine learning approaches to coreference resolution. In: Proceedings of the Association for Computational Linguistics.
  • Vincent Ng. (2005). Machine learning for coreference resolution: From local classification to global ranking. In: Proceedings of the Association for Computational Linguistics.
  • Vincent Ng. (2008). Unsupervised models for coreference resolution. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.
  • Ngan L.T. Nguyen and Jin-Dong Kim. (2008). Exploring domain differences for the design of a pronoun resolution system for biomedical text. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pages 625–632, Manchester, UK, August. Coling 2008 Organizing Committee.
  • Hoifung Poon and Pedro Domingos. (2008). Joint unsupervised coreference resolution with markov logic. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.
  • Matthew Richardson and Pedro Domingos. (2006). Markov logic networks. In Machine Learning.
  • Wee Meng Soon and Daniel Chung Yong Lim Hwee Tou Ng. (2006). A machine learning approach to coreference resolution of noun phrases. In Computational Linguistics.
  • Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, andDavid M. Blei. (2006). Hierarchical dirichlet processes. In Journal of the American Statistical Association.

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 CorefResolCurrentTrendsFutDirecJonathan H. Clark
José P. González-Brenes
Coreference: Current Trends and Future Directionshttp://www.cs.cmu.edu/~jhclark/pubs/clark gonzalez coreference.pdf