Computational Linguistics
Automatic extraction of subcategorization from corpora
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Automatic acquisition of a large subcategorization dictionary from corpora
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Fertilization of case frame dictionary for robust Japanese case analysis
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Verb paraphrase based on case frame alignment
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Extending the coverage of a valency dictionary
COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16
A method of creating new valency entries
Machine Translation
Dependency Language Modeling Using KNN and PLSI
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Semantic classification of automatically acquired nouns using lexico-syntactic clues
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Co-related verb argument selectional preferences
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking
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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. Since these couples multiply to millions of combinations, it is difficult to make a wide-coverage case frame dictionary from a small corpus like an analyzed corpus. We, however, use a raw corpus, so that this problem can be addressed. Furthermore, we cluster and merge predicate-argument examples which does 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.