Paper: Selection Of Effective Contextual Information For Automatic Synonym Acquisition

ACL ID P06-1045
Title Selection Of Effective Contextual Information For Automatic Synonym Acquisition
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Various methods have been proposed for automatic synonym acquisition, as syn- onyms are one of the most fundamen- tal lexical knowledge. Whereas many methods are based on contextual clues of words, little attention has been paid to what kind of categories of contex- tual information are useful for the pur- pose. This study has experimentally inves- tigated the impact of contextual informa- tion selection, by extracting three kinds of word relationships from corpora: depen- dency, sentence co-occurrence, and prox- imity. The evaluation result shows that while dependency and proximity perform relatively well by themselves, combina- tion of two or more kinds of contextual in- formation gives more stable performance. We’ve further investigated useful selection of dependency relations and mod...