Abstract
In this paper, we propose a novel approach for Word Sense Disambiguation (WSD) of verbs that can be applied directly in the event mention detection task to classify event types. By using the PropStore, a database of relations between words, our approach disambiguates senses of verbs by utilizing the information of verbs that appear in similar syntactic contexts. Importantly, the resource our approach requires is only a word sense dictionary, without any annotated sentences or structures and relations between different senses (as in WordNet). Our approach can be extended to disambiguate senses of words for parts of speech besides verbs.
Cite
CITATION STYLE
Fauceglia, N., Lin, Y. C., Ma, X., & Hovy, E. (2015). Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 (pp. 11–15). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w15-0802
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