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Automatic acquisition of hyponyms from large text corpora
Open accessAbstract
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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Metadata
- Authors
- Hearst, M. A.
- Venue
- Proceedings of the 14th conference on Computational linguistics -
- Published
- 1992
- Volume
- 2
- Pages
- 539
- ISSN
- 1525-2477 (ISSN-L)
- OpenAlex
- W2068737686
- Cited by
- 3,253
- References
- 0
- FWCI
- 6.23
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Hearst, M. A. (1992). Automatic acquisition of hyponyms from large text corpora. Proceedings of the 14th conference on Computational linguistics -. https://doi.org/10.3115/992133.992154
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