Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis

Existing methods for Japanese predicate argument structure (PAS) analysis identify case arguments of each predicate without considering interactions between the tar-get PAS and others in a sentence. How-ever, the argument structures of the pred-icates in a sentence are semantically re-lated 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 bipar-tite graph and (2) approximately search-ing optimal PAS combinations. Perform-ing experiments on the NAIST Text Cor-pus, we demonstrate that our joint analysis methods substantially outperform a strong baseline and are comparable to previous work.