Disambiguating prepositional phrase attachments by using on-line dictionary definitions

Authors:
Karen Jensen;Jean-Louis Binot
Affiliations:
IBM Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Thomas J. Watson Research Center, Yorktown Heights, New York
Venue:
Computational Linguistics - Special issue of the lexicon
Year:
1987

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Abstract

Standard on-line dictionaries offer a wealth of knowledge expressed in natural language form. We claim that such knowledge can and should be accessed by natural language processing systems to solve difficult ambiguity problems. This paper sustains that claim by describing a set of computational tools and techniques used to disambiguate prepositional phrase attachments in English sentences, by accessing on-line dictionary definitions. Such techniques offer hope for eliminating the time-consuming, and often incomplete, hand coding of semantic information that has been conventional in natural language understanding systems.