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
Authors

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.