Paper: On Representing Governed Prepositions And Handling Incorrect And Novel Prepositions

ACL ID P89-1014
Title On Representing Governed Prepositions And Handling Incorrect And Novel Prepositions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1989
Authors

NLP systems, in order to be robust, must handle novel and ill-formed input. One common type of error involves the use of non-standard prepositions to mark arguments. In this paper, we argue that such errors can be handled in a systematic fashion, and that a system designed to handle them offers other advantages. We offer a classification scheme for preposition usage errors. Further, we show how the knowledge representation employed in the SRA NLP system facilitates handling these data.