Article

Free access

An endogeneous corpus-based method for structural noun phrase disambiguation

Author:

Didier BourigaultAuthors Info & Claims

EACL '93: Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics

Pages 81 - 86

https://doi.org/10.3115/976744.976755

Published: 21 April 1993 Publication History

PDF eReader

Abstract

In this paper, we describe a method for structural noun phrase disambiguation which mainly relies on the examination of the text corpus under analysis and doesn't need to integrate any domain-dependent lexico- or syntactico-semantic information. This method is implemented in the Terminology Extraction Sottware LEXTER. We first explain why the integration of LEXTER in the LEXTER-K project, which aims at building a tool for knowledge extraction from large technical text corpora, requires improving the quality of the terminolgy extracted by LEXTER. Then we briefly describe the way LEXTER works and show what kind of disambiguation it has to perform when parsing "maximal-length" noun phrases. We introduce a method of disambiguation which relies on a very simple idea: whenever LEXTER has to choose among several competing noun sub-groups in order to disambiguate a maximal-length noun phrase, it checks each of these sub-groups if it occurs anywhere else in the corpus in a non-ambiguous situation, and then it makes a choice. The half-a-million words corpus analysis resulted in an efficient strategy of disambiguation. The average rates are:27% no disambiguation70% correct disambiguation3% wrong disambiguation

References

[1]

{Andreewsky et al., 1977} Alexandre Andreewsky, Christian Fluhr and Fathi Debilli. Computational Learning of Semantic Lexical Relations for the Generation and Automatical Analysis of Content. Information Processing 77, 1977

Google Scholar

[2]

{Bod, 1992} Rens Bod. A Computational Model of Language Performance: Data Oriented Parsing. In Proceedings of COLING-92, Nantes, August 1992

Digital Library

Google Scholar

[3]

{Bourigault, 1992a} Didier Bourigault. LEXTER, un Logical d'EXtraction de TERminologie. In Proceedings of the 2nd symposium of TermNet, Avignon, May 1992

Google Scholar

[4]

{Bourigault, 1992b} Didier Bourigault. Surface Grammatical Analysis for the Extraction of Terminological Noun Phrases. In Proceedings of COLING-92, Nantes, August 1992

Digital Library

Google Scholar

[5]

{Jensen and Binot, 1987} Karen Jensen and Jean-Louis Binot. Disambiguating Prepositional Phrase Attachments by Using On-Line Dictionary Definition. Computational Linguistics 13 (3--4), 1987

Digital Library

Google Scholar

[6]

{Wermter, 1989} Stefan Wermter. Integration of Semantic and Syntactic Constraints for Structural Noun Phrases Disambiguation. In Proceedings of the 11th IJCAI, 1989, Detroit

Google Scholar

[7]

{Zernik, 1992a} Uri Zernik. Shipping Departments vs. Shipping Pacemakers: Using Thematic Analysis to Improve Tagging Accuracy. In Proceedings of AAAI-92, July 1992, San Jose

Google Scholar

[8]

{Zernik, 1992b} Uri Zernik. Closed Yesterday and Closed Minds: Asking the Right Questions of the Corpus To Distinguish Thematic from Sentential Relations. In Proceedings of COLING-92, August 1992, Nantes

Digital Library

Google Scholar

Cited By

View all

Valderrábanos ABelskis AIraola LMarcus M(2002)TExtractorProceedings of the second international conference on Human Language Technology Research10.5555/1289189.1289237(393-398)Online publication date: 24-Mar-2002
https://dl.acm.org/doi/10.5555/1289189.1289237
Bourigault DJacquemin CThompson HLascarides A(1999)Term extraction + term clusteringProceedings of the ninth conference on European chapter of the Association for Computational Linguistics10.3115/977035.977039(15-22)Online publication date: 8-Jun-1999
https://dl.acm.org/doi/10.3115/977035.977039
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
Show More Cited By

An endogeneous corpus-based method for structural noun phrase disambiguation
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

Recommendations

A word sense disambiguation corpus for Urdu
Abstract
The aim of word sense disambiguation (WSD) is to correctly identify the meaning of a word in context. All natural languages exhibit word sense ambiguities and these are often hard to resolve automatically. Consequently WSD is considered an ...
Noun phrase chunking in Hebrew: influence of lexical and morphological features
ACL-44: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics

We present a method for Noun Phrase chunking in Hebrew. We show that the traditional definition of base-NPs as non-recursive noun phrases does not apply in Hebrew, and propose an alternative definition of Simple NPs. We review syntactic properties of ...
Kazakh Noun Phrase Extraction Based on N-gram and Rules
IALP '10: Proceedings of the 2010 International Conference on Asian Language Processing

The aim of the work is to extract Kazakh phrase and basic noun phrase from corpus. For the phrase extraction, N-gram model methods were used, specifically bigram and trigram methods were applied. For basic noun phrase extraction, rule-based methods were ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

EACL '93: Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics

April 1993

494 pages

ISBN:9054340142

Conference Chairs:
Steven Krauwer
OTS, Utrecht
,
Michael Moortgat
OTS, Utrecht
,
Louis des Tombe
OTS, Utrecht
,
Program Chair:
Ewan Klein
University of Edinburgh

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 21 April 1993

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 100 of 360 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
282
Total Downloads

Downloads (Last 12 months)41
Downloads (Last 6 weeks)7

Reflects downloads up to 19 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Valderrábanos ABelskis AIraola LMarcus M(2002)TExtractorProceedings of the second international conference on Human Language Technology Research10.5555/1289189.1289237(393-398)Online publication date: 24-Mar-2002
https://dl.acm.org/doi/10.5555/1289189.1289237
Bourigault DJacquemin CThompson HLascarides A(1999)Term extraction + term clusteringProceedings of the ninth conference on European chapter of the Association for Computational Linguistics10.3115/977035.977039(15-22)Online publication date: 8-Jun-1999
https://dl.acm.org/doi/10.3115/977035.977039
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
Habert BBertrand-Gastaldy SNazarenko ADupuis FNaulleau ELemieux MDelisle CDevroye LChrisment C(1997)Recycling the results of robustComputer-Assisted Information Searching on Internet - Volume 210.5555/2857665.2857697(751-760)Online publication date: 25-Jun-1997
https://dl.acm.org/doi/10.5555/2857665.2857697
Jacquemin CKlavans JTzoukermann ECohen PWahlster W(1997)Expansion of multi-word terms for indexing and retrieval using morphology and syntaxProceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics10.3115/976909.979621(24-31)Online publication date: 7-Jul-1997
https://dl.acm.org/doi/10.3115/976909.979621
Habert BNaulleau ENazarenko ATsujii J(1996)Symbolic word clustering for medium-size corporaProceedings of the 16th conference on Computational linguistics - Volume 110.3115/992628.992713(490-495)Online publication date: 5-Aug-1996
https://dl.acm.org/doi/10.3115/992628.992713
Jacquemin CBrentano JSeitz F(1994)FASTRIntelligent Multimedia Information Retrieval Systems and Management - Volume 110.5555/2856823.2856828(34-47)Online publication date: 11-Oct-1994
https://dl.acm.org/doi/10.5555/2856823.2856828
Jacquemin CJacobs P(1994)Recycling terms into a partial parserProceedings of the fourth conference on Applied natural language processing10.3115/974358.974384(113-118)Online publication date: 13-Oct-1994
https://dl.acm.org/doi/10.3115/974358.974384

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Recommendations

A word sense disambiguation corpus for Urdu

Noun phrase chunking in Hebrew: influence of lexical and morphological features

Kazakh Noun Phrase Extraction Based on N-gram and Rules

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations