Abstract
Existing methods for Japanese predicate argument structure (PAS) analysis identify case arguments of each predicate without considering interactions between the target PAS and others in a sentence. However, the argument structures of the predicates in a sentence are semantically related to each other. This paper proposes new methods for Japanese PAS analysis to jointly identify case arguments of all predicates in a sentence by (1) modeling multiple PAS interactions with a bipartite graph and (2) approximately searching optimal PAS combinations. Performing experiments on the NAIST Text Corpus, we demonstrate that our joint analysis methods substantially outperform a strong baseline and are comparable to previous work.
Cite
CITATION STYLE
Ouchi, H., Shindo, H., Duh, K., & Matsumoto, Y. (2015). Joint case argument identification for japanese predicate argument structure analysis. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference (Vol. 1, pp. 961–970). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p15-1093
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
