Paper: Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning

ACL ID D14-1042
Title Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Word-sense recognition and disambigua- tion (WERD) is the task of identifying word phrases and their senses in natural language text. Though it is well under- stood how to disambiguate noun phrases, this task is much less studied for verbs and verbal phrases. We present Werdy, a framework for WERD with particular focus on verbs and verbal phrases. Our framework first identifies multi-word ex- pressions based on the syntactic structure of the sentence; this allows us to recog- nize both contiguous and non-contiguous phrases. We then generate a list of can- didate senses for each word or phrase, us- ing novel syntactic and semantic pruning techniques. We also construct and lever- age a new resource of pairs of senses for verbs and their object arguments. Finally, we feed the so-obtained cand...