Paper: Automatic Classification Of Verbs In Biomedical Texts

ACL ID P06-1044
Title Automatic Classification Of Verbs In Biomedical Texts
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006

Lexical classes, when tailored to the appli- cation and domain in question, can provide an effective means to deal with a num- ber of natural language processing (NLP) tasks. While manual construction of such classes is difficult, recent research shows that it is possible to automatically induce verb classes from cross-domain corpora with promising accuracy. We report a novel experiment where similar technol- ogy is applied to the important, challeng- ing domain of biomedicine. We show that the resulting classification, acquired from a corpus of biomedical journal articles, is highly accurate and strongly domain- specific. It can be used to aid BIO-NLP directly or as useful material for investi- gating the syntax and semantics of verbs in biomedical texts.