Extraction of Verb Synonyms using Co-clustering Approach

Takeuchi, Koichi

doi:10.1109/isuc.2008.66

Cited by 2 publications

(1 citation statement)

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“…Therefore we must develop an extraction procedure without such an explosive amount of calculation. † The details are in Takeuchi [10]. † † The detailed derivation is described in Aizawa [11].…”

Section: Aizawa's Co-clusteringmentioning

confidence: 99%

Co-clustering with Recursive Elimination for Verb Synonym Extraction from Large Text Corpus

Takeuchi

Takahashi

2009

IEICE Trans. Inf. & Syst.

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SUMMARYThe extraction of verb synonyms is a key technology to build a verb dictionary as a language resource. This paper presents a coclustering-based verb synonym extraction approach that increases the number of extracted meanings of polysemous verbs from a large text corpus. For verb synonym extraction with a clustering approach dealing with polysemous verbs can be one problem issue because each polysemous verb should be categorized into different clusters depending on each meaning; thus there is a high possibility of failing to extract some of the meanings of polysemous verbs. Our proposed approach can extract the different meanings of polysemous verbs by recursively eliminating the extracted clusters from the initial data set. The experimental results of verb synonym extraction show that the proposed approach increases the correct verb clusters by about 50% with a 0.9% increase in precision and a 1.5% increase in recall over the previous approach.

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Section: Aizawa's Co-clusteringmentioning

confidence: 99%