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Maximum entropy models for named entity recognition

Authors:

Oliver Bender,

Franz Josef Och,

Hermann NeyAuthors Info & Claims

CONLL '03: Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4

Pages 148 - 151

https://doi.org/10.3115/1119176.1119196

Published: 31 May 2003 Publication History

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Abstract

In this paper, we describe a system that applies maximum entropy (ME) models to the task of named entity recognition (NER). Starting with an annotated corpus and a set of features which are easily obtainable for almost any language, we first build a baseline NE recognizer which is then used to extract the named entities and their context information from additional non-annotated data. In turn, these lists are incorporated into the final recognizer to further improve the recognition accuracy.

References

[1]

A. L. Berger, S. A. Delia Pietra, and V. J. Delia Pietra. 1996. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39--72, March.

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Google Scholar

[2]

A. Borthwick, J. Sterling, E. Agichtein, and R. Grisham. 1998. NYU: Description of the MENE named entity system as used in MUC-7. In Proceedings of the Seventh Message Understanding Conference (MUC-7), 6 pages, Fairfax, VA, April. http://www.itl.nist.gov/iaui/894.02/related_projects/muc/.

Google Scholar

[3]

S. Chen and R. Rosenfeld. 1999. A gaussian prior for smoothing maximum entropy models. Technical Report CMUCS-99-108, Carnegie Mellon University, Pittsburgh, PA.

Google Scholar

[4]

J. N. Darroch and D. Ratcliff. 1972. Generalized iterative scaling for log-linear models. Annals of Mathematical Statistics, 43:1470--1480.

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Stoffel FJentner WBehrisch MFuchs JKeim D(2017)Interactive Ambiguity Resolution of Named Entities in Fictional LiteratureComputer Graphics Forum10.1111/cgf.1317936:3(189-200)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1111/cgf.13179
Hua WZheng KZhou XSellis TDavidson SIves Z(2015)Microblog Entity Linking with Social Temporal ContextProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2751522(1761-1775)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2751522
Munkhjargal ZBella GChagnaa AGiunchiglia F(2015)Named Entity Recognition for Mongolian LanguageProceedings of the 18th International Conference on Text, Speech, and Dialogue - Volume 930210.1007/978-3-319-24033-6_28(243-251)Online publication date: 14-Sep-2015
https://dl.acm.org/doi/10.1007/978-3-319-24033-6_28
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CONLL '03: Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4

May 2003

213 pages

Conference Chairs:
Walter Daelemans
University of Antwerp and Tilburg University
,
Miles Osborne
University of Edinburgh

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Association for Computational Linguistics

United States

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Published: 31 May 2003

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Stoffel FJentner WBehrisch MFuchs JKeim D(2017)Interactive Ambiguity Resolution of Named Entities in Fictional LiteratureComputer Graphics Forum10.1111/cgf.1317936:3(189-200)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1111/cgf.13179
Hua WZheng KZhou XSellis TDavidson SIves Z(2015)Microblog Entity Linking with Social Temporal ContextProceedings of the 2015 ACM SIGMOD International Conference on Management of Data10.1145/2723372.2751522(1761-1775)Online publication date: 27-May-2015
https://dl.acm.org/doi/10.1145/2723372.2751522
Munkhjargal ZBella GChagnaa AGiunchiglia F(2015)Named Entity Recognition for Mongolian LanguageProceedings of the 18th International Conference on Text, Speech, and Dialogue - Volume 930210.1007/978-3-319-24033-6_28(243-251)Online publication date: 14-Sep-2015
https://dl.acm.org/doi/10.1007/978-3-319-24033-6_28
Prokofyev RDemartini GCudré-Mauroux PChung CBroder AShim KSuel T(2014)Effective named entity recognition for idiosyncratic web collectionsProceedings of the 23rd international conference on World wide web10.1145/2566486.2568013(397-408)Online publication date: 7-Apr-2014
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Singh SRiedel SMartin BZheng JMcCallum ASuchanek FRiedel SSingh STalukdar P(2013)Joint inference of entities, relations, and coreferenceProceedings of the 2013 workshop on Automated knowledge base construction10.1145/2509558.2509559(1-6)Online publication date: 27-Oct-2013
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Kurata GItoh NNishimura MSethy ARamabhadran B(2012)Leveraging word confusion networks for named entity modeling and detection from conversational telephone speechSpeech Communication10.1016/j.specom.2011.11.00254:3(491-502)Online publication date: 1-Mar-2012
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Lvexing ZXueqiang LKun LYuncheng D(2012)Recognition of chinese personal names based on CRFs and law of namesProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_20(163-170)Online publication date: 11-Apr-2012
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Chiticariu LKrishnamurthy RLi YReiss FVaithyanathan SLi HMàrquez L(2010)Domain adaptation of rule-based annotators for named-entity recognition tasksProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870756(1002-1012)Online publication date: 9-Oct-2010
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Ekbal ASourjikova EFrank APonzetto SLi HKumaran A(2010)Assessing the challenge of fine-grained named entity recognition and classificationProceedings of the 2010 Named Entities Workshop10.5555/1870457.1870472(93-101)Online publication date: 16-Jul-2010
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Named entity recognition with a maximum entropy approach

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