Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems
Kenji Imamura, Ryuichiro Higashinaka, Tomoko Izumi · International Conference on Computational Linguistics · 2014
This paper presents predicate-argument structure analysis (PASA) for dialogue systems in Japanese. Conventional PASA and semantic role labeling have been applied to newspaper articles. 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 incorporating 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.