A Case Frame Learning Method for Japanese Polysemous Verbs
Masahiko Haruno · 1995
This paper presents a new method for learning case frames of Japanese polysemous verbs from a roughly parsed corpus when given a semantic hierarchy for nouns (thesaurus). Japanese verbs usually have several meanings which take different case frames. Each contains different types and numbers of case particles (case marker) which turn select different noun categories. The proposed method employs a bottom-up cov-ering technique to avoid combinatorial explosion of more than ten case particles in Japanese and more than 3000 semantic categories in our the-saurus. First, a sequence of case frame candidates is produced by generalizing training instances us-ing the thesaurus. Then to select the most plausi-ble frame, we introduce a new compression-based utility criteria which can uniformly compare can-didates consisting of different structures. Finally, we remove the instances covered by the frame and iterate the procedure until the utility measure be-comes less than a predefined threshold. This pro-duces a set of case frames each corresponding to a single verb meaning. The proposed method is experimentally evaluated by typical polysemous verbs taken from one-year newspaper articles.