Lapata, Maria and Chris Brew. 1999. Using Subcategorization to Resolve Verb Class Ambiguity In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 397-404. College Park, MD.
Levin's (1993) taxonomy of verbs and their classes is a widely used resource for lexical semantics. In her framework, some verbs, such as give exhibit no class ambiguity. But other verbs, such as write, can inhabit more than one class. In some of these ambiguous cases the appropriate class for a particular token of a verb is immediately obvious from inspection of the surrounding context. In others it is not, and an application which wants to recover this information will be forced to rely on some more or less elaborate process of inference. We present a simple statistical model of verb class ambiguity and show how it can be used to carry out such inference.
@InProceedings{Lapata:Brew:99,
author = {Maria Lapata and Chris Brew},
title = {Using Subcategorization to Resolve Verb Class Ambiguity},
crossref = {EMNLP:99},
pages = {266--274}
}
@Proceedings{EMNLP:99,
key = {EMNLP},
title = {Proceedings of the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large Corpora},
booktitle = {Proceedings of the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large Corpora},
editors = {Pascale Fung and Joe Zhou},
year = 1999,
address = {College Park, MD}
}