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Class-based probability estimation using a semantic hierarchy.
chapterposted on 2023-06-07, 20:19 authored by David WeirDavid Weir, Stephen Clark
This paper concerns the acquisition of a particular kind of lexical knowledge, namely the knowledge of which noun senses can fill argument slots of predicates. Probabilities are used to represent the knowledge, and classes from a semantic hierarchy are used to estimate the probabilities. There is a particular focus on the problem of how to determine a suitable class, or level of generalisation, in the hierarchy. A pseudo disambiguation task is used to compare different class-based estimation methods.
PublisherASSOCIATION COMPUTATIONAL LINGUISTICS
Book title2nd meeting of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference, June 2-7, 2001, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Place of publicationSan Francisco, California
Department affiliated with
- Informatics Publications
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