1992 Presentations (Communicative Events)
Degrees of Stativity: The Lexical Representation of Verb Aspect
The automatic acquisition of lexical knowledge from large corpora has dealt primarily with coocurrence phenomena, at the expense of inherent lexical features. We present here a methodology for obtaining semantic information on verb aspect by parsing a corpus and automatically applying linguistic tests with a set of structural analysis tools. Once applied, we propose a representation for verb aspect that associates a value with weights for event types. Weights reflect typical verb use, and thus represent a measure of the resistance or ease of coercion in sentential context. The results we report here have been obtained in two ways: by extracting relevant information from the tagged Brown corpus (Francis and Kucera 1982), and by running a parser (McCord 1980, 1990) on the Reader's Digest corpus to extract more accurate information on verb usage in text.
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- klavans_chodorow_92.pdf application/pdf 167 KB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of the 14th International Conference on Computational Linguistics, COLING 1992
- Published Here
- April 24, 2013