Disambiguating prepositional phrase attachments by using on-line dictionary definitions
Computational Linguistics - Special issue of the lexicon
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Preference semantics, ill-formedness, and metaphor
Computational Linguistics - Special issue on ill-formed input
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
An abstraction method using a semantic engine based on Language Information Structure
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
An abstraction method using a semantic engine based on Language Information Structure
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
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This paper proposes document oriented preference sets(DoPS) for the disambiguation of the dependency structure of sentences. The DoPS system extracts preference knowledge from a target document or other documents automatically. Sentence ambiguities can be resolved by using domain targeted preference knowledge without using complicated large knowledgebases. Implementation and empirical results are described for the analysis of dependency structures of Japanese patent claim sentences.