The Role of Semantic Roles in Disambiguating Verb Senses
Hoa T. Dang, Martha S. Palmer
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 of the 43rd Annual Meeting of the Association for Computational Linguistics
and Palmer, M.
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 December 10, 2023)