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Unsupervised learning of generalized names

Authors:

Roman Yangarber,

Winston Lin,

Ralph GrishmanAuthors Info & Claims

COLING '02: Proceedings of the 19th international conference on Computational linguistics - Volume 1

Pages 1 - 7

https://doi.org/10.3115/1072228.1072382

Published: 24 August 2002 Publication History

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Abstract

We present an algorithm, NOMEN, for learning generalized names in text. Examples of these are names of diseases and infectious agents, such as bacteria and viruses. These names exhibit certain properties that make their identification more complex than that of regular proper names, NOMEN uses a novel form of bootstrapping to grow sets of textual instances and of their contextual patterns. The algorithm makes use of competing evidence to boost the learning of several categories of names simultaneously. We present results of the algorithm on a large corpus. We also investigate the relative merits of several evaluation strategies.

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Wang BYao TZhang QXu JTian ZLiu KZhao JPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Document Gated Reader for Open-Domain Question AnsweringProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331190(85-94)Online publication date: 18-Jul-2019
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Krishnan ASankar AZhi SHan JLim EWinslett MSanderson MFu ASun JCulpepper SLo EHo JDonato DAgrawal RZheng YCastillo CSun ATseng VLi C(2017)Unsupervised Concept Categorization and Extraction from Scientific Document TitlesProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3133023(1339-1348)Online publication date: 6-Nov-2017
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COLING '02: Proceedings of the 19th international conference on Computational linguistics - Volume 1

August 2002

1184 pages

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United States

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Published: 24 August 2002

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Overall Acceptance Rate 1,537 of 1,537 submissions, 100%

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Wang BYao TZhang QXu JTian ZLiu KZhao JPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Document Gated Reader for Open-Domain Question AnsweringProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331190(85-94)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331190
Krishnan ASankar AZhi SHan JLim EWinslett MSanderson MFu ASun JCulpepper SLo EHo JDonato DAgrawal RZheng YCastillo CSun ATseng VLi C(2017)Unsupervised Concept Categorization and Extraction from Scientific Document TitlesProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3133023(1339-1348)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.1145/3132847.3133023
Ren XEl-Kishky AJi HHan JÖzcan FKoutrika GMadden S(2016)Automatic Entity Recognition and Typing in Massive Text DataProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2912567(2235-2239)Online publication date: 26-Jun-2016
https://dl.acm.org/doi/10.1145/2882903.2912567
Ren XEl-Kishky AWang CHan JBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Automatic Entity Recognition and Typing in Massive Text CorporaProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2891065(1025-1028)Online publication date: 11-Apr-2016
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Hijikata YNomura SNakane FNishida SOssowski S(2016)A bootstrapping method for extracting attribute names with keys from the webProceedings of the 31st Annual ACM Symposium on Applied Computing10.1145/2851613.2851992(368-371)Online publication date: 4-Apr-2016
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Tsai CKundu GRoth DHe QIyengar ANejdl WPei JRastogi R(2013)Concept-based analysis of scientific literatureProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505613(1733-1738)Online publication date: 27-Oct-2013
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Pennacchiotti MPantel PGoldwater SManning C(2011)Automatically building training examples for entity extractionProceedings of the Fifteenth Conference on Computational Natural Language Learning10.5555/2018936.2018955(163-171)Online publication date: 23-Jun-2011
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McIntosh TYencken LCurran JBaldwin TLin D(2011)Relation guided bootstrapping of semantic lexiconsProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 210.5555/2002736.2002792(266-270)Online publication date: 19-Jun-2011
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References

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Learning Recognition of Ambiguous Proper Names in Hindi

On assigning place names to geography related web pages

AUTOMATIC ANNOTATION OF AMBIGUOUS PERSONAL NAMES ON THE WEB

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