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A step towards the detection of semantic variants of terms in technical documents

Authors:

Adeline Nazarenko,

Cécile GrosAuthors Info & Claims

ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

Pages 498 - 504

https://doi.org/10.3115/980845.980929

Published: 10 August 1998 Publication History

Abstract

This paper reports the results of a preliminary experiment on the detection of semantic variants of terms in a French technical document. The general goal of our work is to help the structuration of terminologies. Two kinds of semantic variants can be found in traditional terminologies: strict synonymy links and fuzzier relations like see-also. We have designed three rules which exploit general dictionary information to infer synonymy relations between complex candidate terms. The results have been examined by a human terminologist. The expert has judged that half of the overall pairs of terms are relevant for the semantic variation. He validated an important part of the detected links as synonymy. Moreover, it appeared that numerous errors are due to few mis-interpreted links: they could be eliminated by few exception rules.

References

[1]

E. Agirre and G. Rigau. 1996. Word sense disambiguation using conceptual density. In Proceedings of COLING'96, pages 16--22, Copenhagen, Danmark.

Digital Library

[2]

H. Assadi. 1997. Knowledge acquisition from texts: Using an automatic clustering method based on noun-modifier relationship. In Proceedings of ACL'97 - Student Session, Madrid, Spain.

Digital Library

[3]

Roberto Basili, Maria Teresa Pazienza, and Paola Velardi. 1993. Acquisition of selectional patterns in sublanguages. Machine Translation, 8:175--201.

[4]

Roberto Basili, Michelangelo Della Rocca, and Maria Teresa Pazienza. 1997. Contextual word sense tunig and disambiguation. Applied Artificial Intelligence, 11:235--262.

[5]

D. Bourigault. 1992. Surface grammatical analysis for the extraction of terminological noun phrases. In Proceedings of COLING'92, pages 977--981, Nantes, France.

Digital Library

[6]

Mark Dras. 1997. Representing paraphrases using synchronous tree adjoining grammars. In proceedings of the 1997 Australian NLP Summer Workshop, Sydney, Australia.

Digital Library

[7]

Ralph Grishman and John Sterling. 1994. Generalizing automatically generated selectional patterns. In Proceedings of Coling'94, volume 3, pages 742--747, Kyoto.

Digital Library

[8]

C. Gros, H. Assadi, N. Aussenac-Gilles, and A. Courcelle. 1996. Task models for technical documentation accessing. In Proceedings of EKAW'96, Nottingham.

[9]

Benoît Habert, Elie Naulleau, and Adeline Nazarenko. 1996. Symbolic word clustering for medium-size corpora. In Proceedings of COLING'96, volume 1, pages 490--495, Copenhagen, Danmark, August.

Digital Library

[10]

D. Hindle. 1990. Noun classification from predicate-argument structures. In Proceedings of ACL'90, pages 268--275, Pittsburgh, PA.

Digital Library

[11]

C. Jacquemin. 1996. A symbolic and surgical acquisition of terms through variation. In E. Riloff et G. Scheler S. Wermter, editor, Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, pages 425--438, Springer.

[12]

J. Klavans, C. Jacquemin, and E. Tzoukermann. 1997. A natural language approach to multi-word term conflation. In Proceedings of the third Delos Workshop - Cross-Language Information Retrieval.

[13]

Xiaobin Li, Stan Szpakowicz, and Stan Matwin. 1995. WordNet-based algorithm word sense disambiguation. In Proceedings of IJCAI-95, pages 1368--1374, Montreal, Canada.

Digital Library

[14]

G. A. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller. 1993. Introduction to WordNet: An on-line lexical database. Technical Report CSL Report 43, Cognitive Science Laboratory, Princeton.

[15]

Stan Szpakowicz, Stan Matwin, and Ken Barker. 1996. WordNet-based word sense disambiguation that works for short texts. Technical Report TR-96-03, Department of Computer Science, University of Ottawa, Ontario, Canada.

Cited By

Hamon TEngström CManser MBadji ZGrabar NSilvestrov S(2012)Combining compositionality and pagerank for the identification of semantic relations between biomedical wordsProceedings of the 2012 Workshop on Biomedical Natural Language Processing10.5555/2391123.2391138(109-117)Online publication date: 8-Jun-2012
https://dl.acm.org/doi/10.5555/2391123.2391138
Rybinski HKryszkiewicz MProtaziuk GJakubowski ADelteil A(2007)Discovering Synonyms Based on Frequent TermsetsProceedings of the international conference on Rough Sets and Intelligent Systems Paradigms10.1007/978-3-540-73451-2_54(516-525)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.1007/978-3-540-73451-2_54
Grabar NZweigenbaum P(2002)Lexically-based terminology structuringCOLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 1410.3115/1118771.1118774(1-7)Online publication date: 31-Aug-2002
https://dl.acm.org/doi/10.3115/1118771.1118774
Show More Cited By

A step towards the detection of semantic variants of terms in technical documents
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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cover image DL Hosted proceedings

ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

August 1998

768 pages

Program Chairs:
Christian Boitet
Université Joseph Fourier, Grenoble, France
,
Pete Whitelock
Sharp Laboratories of Europe Ltd., Oxford, United Kingdom

Sponsors

Government of Canada
Université de Montréal

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Association for Computational Linguistics

United States

Publication History

Published: 10 August 1998

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Overall Acceptance Rate 85 of 443 submissions, 19%

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Cited By

Hamon TEngström CManser MBadji ZGrabar NSilvestrov S(2012)Combining compositionality and pagerank for the identification of semantic relations between biomedical wordsProceedings of the 2012 Workshop on Biomedical Natural Language Processing10.5555/2391123.2391138(109-117)Online publication date: 8-Jun-2012
https://dl.acm.org/doi/10.5555/2391123.2391138
Rybinski HKryszkiewicz MProtaziuk GJakubowski ADelteil A(2007)Discovering Synonyms Based on Frequent TermsetsProceedings of the international conference on Rough Sets and Intelligent Systems Paradigms10.1007/978-3-540-73451-2_54(516-525)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.1007/978-3-540-73451-2_54
Grabar NZweigenbaum P(2002)Lexically-based terminology structuringCOLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 1410.3115/1118771.1118774(1-7)Online publication date: 31-Aug-2002
https://dl.acm.org/doi/10.3115/1118771.1118774
Morin EJacquemin CDale RChurch K(1999)Projecting corpus-based semantic links on a thesaurusProceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics10.3115/1034678.1034739(389-396)Online publication date: 20-Jun-1999
https://dl.acm.org/doi/10.3115/1034678.1034739
Jacquemin CDale RChurch K(1999)Syntagmatic and paradigmatic representations of term variationProceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics10.3115/1034678.1034733(341-348)Online publication date: 20-Jun-1999
https://dl.acm.org/doi/10.3115/1034678.1034733

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