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The Effect of Corpus Size on Case Frame Acquisition for Predicate-Argument Structure Analysis
Ryohei SASANO Daisuke KAWAHARA Sadao KUROHASHI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Info-Plosion)
Category: Natural Language Processing
corpus size, case frame, predicate-argument structure analysis,
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This paper reports the effect of corpus size on case frame acquisition for predicate-argument structure analysis in Japanese. For this study, we collect a Japanese corpus consisting of up to 100 billion words, and construct case frames from corpora of six different sizes. Then, we apply these case frames to syntactic and case structure analysis, and zero anaphora resolution, in order to investigate the relationship between the corpus size for case frame acquisition and the performance of predicate-argument structure analysis. We obtained better analyses by using case frames constructed from larger corpora; the performance was not saturated even with a corpus size of 100 billion words.