C4.5: programs for machine learning
C4.5: programs for machine learning
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Fertilization of case frame dictionary for robust Japanese case analysis
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Making sense of Japanese relative clause constructions
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
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Japanese relative clause constructions (RCC's) are defined as being the NP's of structure ‘S NP', noting the lack of a relative pronoun or any other explicit form of noun-clause demarcation. Japanese relative clause modification should be classified into at least two major semantic types: case-slot gapping and head restrictive. However, these types for relative clause modification cannot apparently be distinguished. In this paper we propose a method of identifying a RCC's type with a machine learning technique. The features used in our approach are not only representing RCC's characteristics, but also automatically obtained from large corpora. The results we obtained from evaluation revealed that our method outperformed the traditional case frame-based method, and the features that we presented were effective in identifying RCC's types.