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Statistical Discrimination of the Synonymy/Antonymy Relationship Between Words

Authors:

P. A. W. Lewis,

P. B. Baxendale,

J. L. BennettAuthors Info & Claims

Journal of the ACM (JACM), Volume 14, Issue 1

Pages 20 - 44

https://doi.org/10.1145/321371.321374

Published: 01 January 1967 Publication History

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Abstract

A basic hypothesis is stated about the contextual and co-occurrence properties of synonymous words. On the basis of this hypothesis, several statistics are derived for use in discriminating between pairs of words which are synonymous and pairs of words which are nonsynonymous. The discriminating power of these statistics is tested on a corpus consisting of titles of physics theses. The tests indicate that two of the derived statistics have relatively high discriminating power. The results are interpreted and the possibility of obtaining better discriminating power is discussed.

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Cited By

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Chi WTang TSalleh NMukred MAlSalman HZohaib M(2024)Data Augmentation With Semantic Enrichment for Deep Learning Invoice Text ClassificationIEEE Access10.1109/ACCESS.2024.338786012(57326-57344)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3387860
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
Mehler AKöhler R(2006)Introduction: Machine Learning in a Semiotic PerspectiveAspects of Automatic Text Analysis10.1007/978-3-540-37522-7_1(1-29)Online publication date: 2006
https://doi.org/10.1007/978-3-540-37522-7_1
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Index Terms

Statistical Discrimination of the Synonymy/Antonymy Relationship Between Words
1. Information systems
  1. Information retrieval
    1. Document representation
    2. Search engine architectures and scalability
      1. Search engine indexing
2. Mathematics of computing
  1. Probability and statistics

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Information

Published In

Journal of the ACM Volume 14, Issue 1

Jan. 1967

202 pages

ISSN:0004-5411

EISSN:1557-735X

DOI:10.1145/321371

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1967

Published in JACM Volume 14, Issue 1

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Chi WTang TSalleh NMukred MAlSalman HZohaib M(2024)Data Augmentation With Semantic Enrichment for Deep Learning Invoice Text ClassificationIEEE Access10.1109/ACCESS.2024.338786012(57326-57344)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3387860
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
Mehler AKöhler R(2006)Introduction: Machine Learning in a Semiotic PerspectiveAspects of Automatic Text Analysis10.1007/978-3-540-37522-7_1(1-29)Online publication date: 2006
https://doi.org/10.1007/978-3-540-37522-7_1
Gaussier ERenders JMatveeva IGoutte CDéjean HScott D(2004)A geometric view on bilingual lexicon extraction from comparable corporaProceedings of the 42nd Annual Meeting on Association for Computational Linguistics10.3115/1218955.1219022(526-es)Online publication date: 21-Jul-2004
https://dl.acm.org/doi/10.3115/1218955.1219022
Dale M(2001)Functional synonyms and environmental homologues: an empirical approach to guild delimitationCommunity Ecology10.1556/ComEc.2.2001.1.82:1(67-79)Online publication date: Jul-2001
https://doi.org/10.1556/ComEc.2.2001.1.8
Ruge G(1999)Combining Corpus Linguistics and Human Memory Models for Automatic Term AssociationNatural Language Information Retrieval10.1007/978-94-017-2388-6_3(75-98)Online publication date: 1999
https://doi.org/10.1007/978-94-017-2388-6_3
Dale M(1991)Knowing When to Stop: Cluster Concept — Concept ClusterComputer assisted vegetation analysis10.1007/978-94-011-3418-7_14(149-171)Online publication date: 1991
https://doi.org/10.1007/978-94-011-3418-7_14
Dale M(1991)Mutational and Nonmutational Similarity Measures: A Preliminary ExaminationComputer assisted vegetation analysis10.1007/978-94-011-3418-7_12(123-135)Online publication date: 1991
https://doi.org/10.1007/978-94-011-3418-7_12
Dale M(1989)Similarity measures for structured data: a general framework and some applications to vegetation dataVegetatio10.1007/BF0004551281:1-2(41-60)Online publication date: Jul-1989
https://doi.org/10.1007/BF00045512
Dale M(1989)Similarity measures for structured data: a general framework and some applications to vegetation dataNumerical syntaxonomy10.1007/978-94-009-2432-1_4(41-60)Online publication date: 1989
https://doi.org/10.1007/978-94-009-2432-1_4
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Computer-aided research on synonymy and antonymy

Computing word-pair antonymy

Antonymy-Synonymy Discrimination in Spanish with a Parasiamese Network

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