Difference between revisions of "2011 CoreferenceResolutionAReviewofG"

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* 76. Haghighi A, Klein D. Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics. Prague, Czech Republic: Association for Computational Linguistics; 2007. p. 848-55.
 
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* 77. Vincent Ng, Unsupervised Models for Coreference Resolution, Proceedings of the Conference on Empirical Methods in Natural Language Processing, October 25-27, 2008, Honolulu, Hawaii
* 78. Hoifung Poon, Pedro Domingos, Joint Unsupervised Coreference Resolution with Markov Logic, Proceedings of the Conference on Empirical Methods in Natural Language Processing, October 25-27, 2008, Honolulu, Hawaii
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* 78. Hoifung Poon, [[Pedro Domingos]], Joint Unsupervised Coreference Resolution with Markov Logic, Proceedings of the Conference on Empirical Methods in Natural Language Processing, October 25-27, 2008, Honolulu, Hawaii
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* 79. Matthew Richardson, [[Pedro Domingos]], Markov Logic Networks, Machine Learning, v.62 n.1-2, p.107-136, February 2006 [https://dx.doi.org/10.1007/s10994-006-5833-1 doi:10.1007/s10994-006-5833-1]
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* 80. Daniel Lowd, [[Pedro Domingos]], Efficient Weight Learning for Markov Logic Networks, Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 17-21, 2007, Warsaw, Poland [https://dx.doi.org/10.1007/978-3-540-74976-9_21 doi:10.1007/978-3-540-74976-9_21]
 
* 81. Aria Haghighi, Dan Klein, Simple Coreference Resolution with Rich Syntactic and Semantic Features, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3, August 06-07, 2009, Singapore
 
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Latest revision as of 05:35, 16 August 2019

Subject Headings: Coreference Resolution Algorithm, Coreference Resolution System.

Notes

Cited By


Quotes

Abstract

Coreference resolution is the task of determining linguistic expressions that refer to the same real-world entity in natural language. Research on coreference resolution in the general English domain dates back to 1960s and 1970s. However, research on coreference resolution in the clinical free text has not seen major development. The recent US government initiatives that promote the use of electronic health records (EHRs) provide opportunities to mine patient notes as more and more health care institutions adopt EHR. Our goal was to review recent advances in general purpose coreference resolution to lay the foundation for methodologies in the clinical domain, facilitated by the availability of a shared lexical resource of gold standard coreference annotations, the Ontology Development and Information Extraction (ODIE) corpus.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2011 CoreferenceResolutionAReviewofGJiaping Zheng
Wendy W. Chapman
Rebecca S. Crowley
Guergana K. Savova
Coreference Resolution: A Review of General Methodologies and Applications in the Clinical Domain10.1016/j.jbi.2011.08.0062011
AuthorJiaping Zheng +, Wendy W. Chapman +, Rebecca S. Crowley + and Guergana K. Savova +
doi10.1016/j.jbi.2011.08.006 +
titleCoreference Resolution: A Review of General Methodologies and Applications in the Clinical Domain +
year2011 +