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Recovery Strategies for Parsing Extragrammatical Language

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journal contribution
posted on 01.09.2007, 00:00 authored by Jaime G. Carbonell, Philip J. Hayes
Practical natural language interfaces must exhibit robust behaviour in the presence of extragrammatical user input. This paper classifies different types of grammatical deviations and related phenomena at the lexical, sentential and dialogue levels and presents recovery strategies tailored to specific phenomena in the classification. Such strategies constitute a tool chest of computationally tractable methods for coping with extragrammaticality in restricted domain natural language. Some of the strategies have been tested and proven viable in existing parsers.


Publisher Statement

©ACM, 2007. This is the author’s version of the work. It is posted here by permission of the ACM for your personal use. Not for redistribution. The definitive version is published in the ACM Digital Library, DOI 10.1145/1291233.1291395.



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