Presentation 1995/7/20
Verbal Case Frame Acqusition by Least Generalization
Masahiko Haruno,
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Abstract(in English) 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). Our method employs a bottom-up covering technique to avoid combinatorial explosion of more than ten case particles in Japanese and more than 3000 semantic categories in our thesaurus. First, a sequence of case frame candidates is produced by generalizing training instances using the thesaurus. Then to select the most plausible frame, we introduce a new compression-based utility criteria which can uniformly compare candidates consisting of different structures. Finally, we remove the instances covered by the frame and iterate the procedure until the utility measure becomes less than a predefined threshold. This produces 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.
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Conference Information
Committee NLC
Conference Date 1995/7/20(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Verbal Case Frame Acqusition by Least Generalization
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1st Author's Name Masahiko Haruno
1st Author's Affiliation NTT Communication Science Laboratories()
Date 1995/7/20
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Volume (vol) vol.95
Number (no) 168
Page pp.pp.-
#Pages 8
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