Article

Free access

Projecting corpus-based semantic links on a thesaurus

Authors:

Christian JacqueminAuthors Info & Claims

ACL '99: Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics

Pages 389 - 396

https://doi.org/10.3115/1034678.1034739

Published: 20 June 1999 Publication History

PDF eReader

Abstract

Hypernym links acquired through an information extraction procedure are projected on multi-word terms through the recognition of semantic variations. The quality of the projected links resulting from corpus-based acquisition is compared with projected links extracted from a technical thesaurus.

References

[1]

AGROVOC. 1995. Thésaurus Agricole Multilingue. Organisation de Nations Unies pour l'Alimentation et l'Agriculture, Roma.

Google Scholar

[2]

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

Crossref

Google Scholar

[3]

Didier Bourigault. 1993. An endogeneous corpus-based method for structural noun phrase disambiguation. In EACL'93, pages 81--86, Utrecht.

Digital Library

Google Scholar

[4]

Béatrice Daille. 1996. Study and implementation of combined techniques for automatic extraction of terminology. In Judith L. Klavans and Philip Resnik, editors, The Balancing Act: Combining Symbolic and Statistical Approaches to Language, pages 49--66. MIT Press, Cambridge, MA.

Google Scholar

[5]

Christiane Fellbaum, editor. 1998. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA.

Google Scholar

[6]

Gregory Grefenstette. 1994. Explorations in Automatic Thesaurus Discovery. Kluwer Academic Publisher, Boston, MA.

Digital Library

Google Scholar

[7]

Thierry Hamon, Adeline Nazarenko, and Cécile Gros. 1998. A step towards the detection of semantic variants of terms in technical documents. In COLING-ACL'98, pages 498--504, Montreal.

Digital Library

Google Scholar

[8]

Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In COLING'92, pages 539--545, Nantes.

Digital Library

Google Scholar

[9]

Marti A. Hearst. 1998. Automated discovery of wordnet relations. In Christiane Fellbaum, editor, WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA.

Google Scholar

[10]

Christian Jacquemin. 1999. Syntagmatic and paradigmatic representation of term variation. In ACL'99, University of Maryland.

Digital Library

Google Scholar

[11]

John S. Justeson and Slava M. Katz. 1995. Technical terminology: some linguistic properties and an algorithm for identification in text. Natural Language Engineering, 1(1): 9--27.

Crossref

Google Scholar

[12]

Emmanuel Morin. 1999. Using Lexico-syntactic Patterns to Extract Semantic Relations between Terms from Technical Corpus. In Proceedings, 5th International Congress on Terminology and Knowledge Engineering (TKE'99), Innsbrück.

Google Scholar

[13]

Ellen Riloff. 1993. Automatically constructing a dictionay for information extraction tasks. In Proceedings, 11th National Conference on Artificial Intelligence, pages 811--816, Cambridge, MA. MIT Press.

Google Scholar

[14]

Hinrich Schütze. 1993. Word space. In Stephen J. Hanson, Jack D. Cowan, and Lee Giles, editors, Advances in Neural Information Processing Systems 5. Morgan Kauffmann, San Mateo, CA.

Google Scholar

Cited By

View all

Liu LDiao L(2012)A spatial structure analysis of candidate chinese hyponymy based on concept spaceProceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence10.1007/978-3-642-33478-8_24(184-191)Online publication date: 26-Oct-2012
https://dl.acm.org/doi/10.1007/978-3-642-33478-8_24
Mathur IMathur SJoshi NMishra B(2011)Ontology development for health care in IndiaProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980176(715-718)Online publication date: 25-Feb-2011
https://dl.acm.org/doi/10.1145/1980022.1980176
Poibeau T(2007)Semantic annotation: mapping text to ontologiesInternational Journal of Metadata, Semantics and Ontologies10.1504/IJMSO.2007.0168022:2(67-78)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.1504/IJMSO.2007.016802
Show More Cited By

Projecting corpus-based semantic links on a thesaurus
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

Recommendations

A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation

New semantic tagger based on a large English historical thesaurus of 793,742 lexemes.Automatically classify words into 225,000 concepts and 4033 thematic categories.Time-sensitive semantic tagger reflecting history of English word usage.Comprehensive ...
Word Sense Disambiguation of Farsi Homographs Using Thesaurus and Corpus
GoTAL '08: Proceedings of the 6th international conference on Advances in Natural Language Processing

This paper describes disambiguation of Farsi homographs in unrestricted text using thesaurus and corpus. The proposed method is based on [1] with some differences. These differences consist of first using collocational information to avoid the collection ...
Estimating satisfactoriness of selectional restriction from corpus without a thesaurus

A selectional restriction specifies what combinations of words are semantically valid in a particular syntactic construction. This is one of the basic and important pieces of knowledge in natural language processing and has been used for syntactic and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACL '99: Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics

June 1999

642 pages

ISBN:1558606093

Program Chairs:
Robert Dale,
Ken Church

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 20 June 1999

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 85 of 443 submissions, 19%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
261
Total Downloads

Downloads (Last 12 months)42
Downloads (Last 6 weeks)11

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Liu LDiao L(2012)A spatial structure analysis of candidate chinese hyponymy based on concept spaceProceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence10.1007/978-3-642-33478-8_24(184-191)Online publication date: 26-Oct-2012
https://dl.acm.org/doi/10.1007/978-3-642-33478-8_24
Mathur IMathur SJoshi NMishra B(2011)Ontology development for health care in IndiaProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980176(715-718)Online publication date: 25-Feb-2011
https://dl.acm.org/doi/10.1145/1980022.1980176
Poibeau T(2007)Semantic annotation: mapping text to ontologiesInternational Journal of Metadata, Semantics and Ontologies10.1504/IJMSO.2007.0168022:2(67-78)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.1504/IJMSO.2007.016802
Liu LCao CWang H(2006)Extracting hyponymic relations from Chinese free corpusProceedings of the 5th WSEAS international conference on Applied computer science10.5555/1973598.1973784(962-968)Online publication date: 16-Apr-2006
https://dl.acm.org/doi/10.5555/1973598.1973784
Roberts ACallison-Burch CWan S(2005)Learning meronyms from biomedical textProceedings of the ACL Student Research Workshop10.5555/1628960.1628971(49-54)Online publication date: 27-Jun-2005
https://dl.acm.org/doi/10.5555/1628960.1628971
Da Sylva LSoulé-Dupuis C(2004)Indexation automatique de documents par combinaison d'analyses statistiques et terminologiques structuréesCoupling approaches, coupling media and coupling languages for information retrieval10.5555/2816272.2816355(895-904)Online publication date: 26-Apr-2004
https://dl.acm.org/doi/10.5555/2816272.2816355
Poibeau T(2004)Automatic extraction of paraphrastic phrases from medium size corporaProceedings of the 20th international conference on Computational Linguistics10.3115/1220355.1220447(638-es)Online publication date: 23-Aug-2004
https://dl.acm.org/doi/10.3115/1220355.1220447
Daille BLevin LTokunaga TLenci A(2003)Conceptual structuring through term variationsProceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 1810.3115/1119282.1119284(9-16)Online publication date: 12-Jul-2003
https://dl.acm.org/doi/10.3115/1119282.1119284
Poibeau TDutoit D(2002)Generating extraction patterns from a large semantic network and an untagged corpusProceedings of the 2002 workshop on Building and using semantic networks - Volume 1110.3115/1118735.1118748(1-7)Online publication date: 1-Sep-2002
https://dl.acm.org/doi/10.3115/1118735.1118748
Rydin S(2002)Building a hyponymy lexicon with hierarchical structureProceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 910.3115/1118627.1118631(26-33)Online publication date: 12-Jul-2002
https://dl.acm.org/doi/10.3115/1118627.1118631
Show More Cited By

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 time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation

Word Sense Disambiguation of Farsi Homographs Using Thesaurus and Corpus

Estimating satisfactoriness of selectional restriction from corpus without a thesaurus

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