Paper: A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel

ACL ID C10-1022
Title A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Event Anaphora Resolution is an important task for cascaded event template extraction and other NLP study. In this paper, we provide a first systematic study of resolving pronouns to their event verb antecedents for general purpose. First, we explore various positional, lexical and syntactic features useful for the event pronoun resolution. We further explore tree kernel to model structural information embedded in syntactic parses. A composite kernel is then used to combine the above di- verse information. In addition, we employed a twin-candidate based preferences learning model to capture the pair wise candidates’ pre- ference knowledge. Besides we also look into the incorporation of the negative training in- stances with anaphoric pronouns whose ante- cedents are not ver...