Abstract
This paper describes a method to construct a case frame dictionary automatically from a raw corpus.The main problem is how to handle the diversity of verb usages. We collect predicate-argument examples, which are distinguished by the verb and its closest case component in order to deal with verb usages, from parsed results of a corpus.Furthermore, we cluster and merge predicate-argument examples which do not have different usages but belong to different case frames because of different closest case components.We also report on an experimental result of case structure analysis using the constructed case frame dictionary.
