Paper: Japanese Dependency Parsing Using Co-Occurrence Information And A Combination Of Case Elements

ACL ID P06-1105
Title Japanese Dependency Parsing Using Co-Occurrence Information And A Combination Of Case Elements
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of informa- tion not considered in previous statistical (machine learning based) parsing meth- ods: information about dependency rela- tions among the case elements of a verb, and information about co-occurrence re- lations between a verb and its case ele- ment. This information can be collected from the results of automatic dependency parsing of large-scale corpora. The results of an experiment in which our method was usedtoreranktheresultsobtainedusingan existing machine learning based parsing method showed that our method can im- prove the accuracy of the results obtained using the existing method.