Dang, H.
and Palmer, M.
(2005),
The Role of Semantic Roles in Disambiguating Verb Senses, Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, Ann Arbor, MI, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150245
(Accessed October 10, 2025)
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The Role of Semantic Roles in Disambiguating Verb Senses
Published
Author(s)
, Martha S. Palmer
Abstract
We describe an automatic Word Sense Disambiguation (WSD) system that disambiguates verb senses using syntactic and semantic features that encode information about predicate arguments and semantic classes. Our system performs better than the best published results on the English verbs of senseval-2. We also experiment with using the gold-standard predicate-argument labels from PropBank to disambiguate fine-grained WordNet senses and course-grained PropBank framesets, and show that WSD can be further improved with better extraction of semantic roles.Proceedings Title
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics
Conference Dates
June 25-30, 2005
Conference Location
Ann Arbor, MI
Conference Title
Association for Computational Linguistics
Pub Type
Conferences
Download Paper
Keywords
maximum entropy models, predicate-arguments, verb sense disambiguation
Citation
Issues
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Created December 19, 2005, Updated February 19, 2017