Automatic Acquisition of Hyponyms from Large Text Corpora

Automatic Acquisition of Hyponyms from Large Text Corpora (1992)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Marti A. Hearst

Venue:	In Proceedings of the 14th International Conference on Computational Linguistics
Citations:	673 - 4 self

Versions

Version History

Metadata Version 3

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Automatic Acquisition of Hyponyms from Large Text Corpora	user correction - Legacy Corrections
AUTHOR NAME	Marti A. Hearst	SVM HeaderParse 0.1
AUTHOR AFFIL	; Computer Science Division; University of California, Berkeley; and; Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	; 571 Evans Hall; Berkeley, CA 94720	SVM HeaderParse 0.1
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 lexicosyntactic 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. 1 Introduction Currently there is much interest in the automatic acquisition of lexical syntax and semantics, with the goal of building up large lexicons for natural language processing. Projects ...	user correction - Legacy Corrections
YEAR	1992	INFERENCE
VENUE	In Proceedings of the 14th International Conference on Computational Linguistics	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	539--545	INFERENCE
CITATIONS	18 found	ParsCit 1.0