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Automatic acquisition of hyponyms from large text corpora

Author:

Marti A. HearstAuthors Info & Claims

COLING '92: Proceedings of the 14th conference on Computational linguistics - Volume 2

Pages 539 - 545

https://doi.org/10.3115/992133.992154

Published: 23 August 1992 Publication History

Abstract

We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. Two goals motivate the approach: (i) avoidance of the need for pre-encoded knowledge and (ii) applicability across a wide range of text. We identify a set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest. We describe a method for discovering these patterns and suggest that other lexical relations will also be acquirable in this way. A subset of the acquisition algorithm is implemented and the results are used to augment and critique the structure of a large hand-built thesaurus. Extensions and applications to areas such as information retrieval are suggested.

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cover image DL Hosted proceedings

COLING '92: Proceedings of the 14th conference on Computational linguistics - Volume 2

August 1992

433 pages

Program Chair:
Antonio Zampolli
Pisa

Sponsors

SITE
Ministère de la recherche et de la technologie
Ville de Nantes
Ministère des Affairs Étrangères
Conseil Général de Loire Atlantique
CNRS: Centre National De La Rechercue Scientifique
Université de Nantes
ATALA
ACL
AFCET
Universités de Grenoble
IMAG

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Association for Computational Linguistics

United States

Publication History

Published: 23 August 1992

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https://dl.acm.org/doi/10.1145/3676288.3676289
Komarlu TJiang MWang XHan JBaeza-Yates RBonchi F(2024)OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity TypingProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671745(1407-1417)Online publication date: 25-Aug-2024
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