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High-precision identification of discourse new and unique noun phrases

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Olga UryupinaAuthors Info & Claims

ACL '03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2

Pages 80 - 86

https://doi.org/10.3115/1075178.1075189

Published: 07 July 2003 Publication History

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Abstract

Coreference resolution systems usually attempt to find a suitable antecedent for (almost) every noun phrase. Recent studies, however, show that many definite NPs are not anaphoric. The same claim, obviously, holds for the indefinites as well.In this study we try to learn automatically two classifications, ±discourse_new and ±unique, relevant for this problem. We use a small training corpus (MUC-7), but also acquire some data from the Internet. Combining our classifiers sequentially, we achieve 88.9% precision and 84.6% recall for discourse new entities.We expect our classifiers to provide a good prefiltering for coreference resolution systems, improving both their speed and performance.

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Cited By

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Cahill ARiester ALee GGinzburg J(2012)Automatically acquiring fine-grained information status distinctions in GermanProceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue10.5555/2392800.2392842(232-236)Online publication date: 5-Jul-2012
https://dl.acm.org/doi/10.5555/2392800.2392842
Rahman ANg VMerlo PBarzilay RJohnson M(2011)Learning the information status of noun phrases in spoken dialoguesProceedings of the Conference on Empirical Methods in Natural Language Processing10.5555/2145432.2145547(1069-1080)Online publication date: 27-Jul-2011
https://dl.acm.org/doi/10.5555/2145432.2145547
Uryupina OErk KStrapparava C(2010)Corry: A system for coreference resolutionProceedings of the 5th International Workshop on Semantic Evaluation10.5555/1859664.1859684(100-103)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1859664.1859684
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High-precision identification of discourse new and unique noun phrases
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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ACL '03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2

July 2003

200 pages

ISBN:0111456789

Program Chair:
Yuji Matsumoto

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Association for Computational Linguistics

United States

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Published: 07 July 2003

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Overall Acceptance Rate 85 of 443 submissions, 19%

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Cahill ARiester ALee GGinzburg J(2012)Automatically acquiring fine-grained information status distinctions in GermanProceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue10.5555/2392800.2392842(232-236)Online publication date: 5-Jul-2012
https://dl.acm.org/doi/10.5555/2392800.2392842
Rahman ANg VMerlo PBarzilay RJohnson M(2011)Learning the information status of noun phrases in spoken dialoguesProceedings of the Conference on Empirical Methods in Natural Language Processing10.5555/2145432.2145547(1069-1080)Online publication date: 27-Jul-2011
https://dl.acm.org/doi/10.5555/2145432.2145547
Uryupina OErk KStrapparava C(2010)Corry: A system for coreference resolutionProceedings of the 5th International Workshop on Semantic Evaluation10.5555/1859664.1859684(100-103)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1859664.1859684
Ng VHajič J(2010)Supervised noun phrase coreference researchProceedings of the 48th Annual Meeting of the Association for Computational Linguistics10.5555/1858681.1858823(1396-1411)Online publication date: 11-Jul-2010
https://dl.acm.org/doi/10.5555/1858681.1858823
Rahman ANg VKoehn PMihalcea R(2009)Supervised models for coreference resolutionProceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 210.5555/1699571.1699639(968-977)Online publication date: 6-Aug-2009
https://dl.acm.org/doi/10.5555/1699571.1699639
Ng VOstendorf MCollins MNarayanan SOard D(2009)Graph-cut-based anaphoricity determination for coreference resolutionProceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics10.5555/1620754.1620838(575-583)Online publication date: 31-May-2009
https://dl.acm.org/doi/10.5555/1620754.1620838
Recasens MDemberg VMa YReiter N(2009)A chain-starting classifier of definite NPs in SpanishProceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop10.5555/1609179.1609185(46-53)Online publication date: 2-Apr-2009
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Elsner MCharniak E(2008)Coreference-inspired coherence modelingProceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers10.5555/1557690.1557702(41-44)Online publication date: 16-Jun-2008
https://dl.acm.org/doi/10.5555/1557690.1557702
Nissim MJurafsky DGaussier E(2006)Learning information status of discourse entitiesProceedings of the 2006 Conference on Empirical Methods in Natural Language Processing10.5555/1610075.1610090(94-102)Online publication date: 22-Jul-2006
https://dl.acm.org/doi/10.5555/1610075.1610090
Markert KNissim M(2005)Comparing Knowledge Sources for Nominal Anaphora ResolutionComputational Linguistics10.1162/08912010577432106431:3(367-402)Online publication date: 1-Sep-2005
https://dl.acm.org/doi/10.1162/089120105774321064
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Corpus-based identification of non-anaphoric noun phrases

An estimate of referent of noun phrases in Japanese sentences

A machine learning approach to coreference resolution of noun phrases

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