Disambiguating prepositional phrase attachments by using on-line dictionary definitions
Computational Linguistics - Special issue of the lexicon
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Statistical sense disambiguation with relatively small corpora using dictionary definitions
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
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Prepositional phrase attachment is a major cause of structural ambiguity in natural language. Recent work has been dependent on corpus-based approaches to deal with this problem. However, corpus-based approaches suffer from the sparse-data problem. To cope with this problem, we introduce a hybrid method of integrating corpus-based approach with knowledge-based techniques, using a wide-variety of information that comes from annotated corpora and a machinere-adable dictionary. When the occurrence frequency on the corpora is low, we use preference rules to determine PP attachment based on clues from conceptual information. An experiment has proven that our hybrid method is both effective and applicable in practice.