C4.5: programs for machine learning
C4.5: programs for machine learning
The disambiguation of nominalizations
Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Corpus-based acquisition of relative pronoun disambiguation heuristics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
A general feature space for automatic verb classification
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Japanese dependency analysis using cascaded chunking
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Learning to predict case markers in Japanese
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Corpus-based analysis of japanese relative clause constructions
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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We apply the C4.5 decision tree learner in interpreting Japanese relative clause constructions, based around shallow syntactic and semantic processing. In parameterising data for use with C4.5, we propose and test various means of reducing intra-clausal interpretational ambiguity, and cross indexing the overall analysis of cosubordinated relative clause constructions. We additionally investigate the disambiguating effect of the different parameter types used, and establish upper bounds for the task.