Computational Linguistics
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
Substructure discovery using minimum description length and background knowledge
Journal of Artificial Intelligence Research
Acquiring an ontology for a fundamental vocabulary
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Terminological paraphrase extraction from scientific literature based on predicate argument tuples
Journal of Information Science
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This paper proposes an automatic method to discover definition patterns from an ordinary dictionary. There are frequent patterns to describe words and concepts in a ordinary dictionary. Each definition pattern gives a set of similar words and can be used as a template to clarify distinctions among them. To discover these definition patterns, we convert definition sentences into tree structures, and compress them using the MDL principle. The experiment on a Japanese children dictionary is reported, showing the effectiveness of our method.