Paper: Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems

ACL ID C14-1077
Title Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper presents predicate-argument structure analysis (PASA) for dialogue systems in Japanese. Conventional PASA and semantic role labeling have been applied to newspaper arti- cles. Because pronominalization and ellipses frequently appear in dialogues, we base our PASA on a strategy that simultaneously resolves zero-anaphora and adapt it to dialogues. By incor- porating parameter adaptation and automatically acquiring knowledge from large text corpora, we achieve a PASA specialized to dialogues that has higher accuracy than that for newspaper articles.