Paper: A Japanese Predicate Argument Structure Analysis using Decision Lists

ACL ID D08-1055
Title A Japanese Predicate Argument Structure Analysis using Decision Lists
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008
Authors

This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar- get predicate using the features of the words located closest to the target predicate under various constraints such as dependency types, words, semantic categories, parts of speech, functional words and predicate voices. We constructed decision lists in which these fea- turesweresortedbytheirlearnedweights. Us- ing our method, we integrated the tasks of se- mantic role labeling and zero-pronoun iden- tification, and achieved a 17% improvement compared with a baseline method in a sen- tence level performance analysis.