Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Resolving ellipsis in clarification
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
GoDiS: an accommodating dialogue system
ANLP/NAACL-ConvSyst '00 Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems - Volume 3
On the means for clarification in dialogue
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Processing unknown words in a dialogue system
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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Dialogue is full of intuitively complete utterances that are not sentential in their outward form, most prototypically the "short answers" used to respond to queries. As is well known, processing such non-sentential utterances (NSUs) is a difficult problem on both theoretical and computational grounds. In this paper we present a corpus-based study of NSUs. We propose a comprehensive, theoretically grounded classification of NSUs in dialogue based on a sub-portion of the British National Corpus (BNC). The study suggests that the interpretation of NSUs is amenable to resolution using a relatively intricate grammar combined with an utterance dynamics approach. That is, a strategy that keeps track of a highly structured dialogue record of entities that get introduced into context as a result of utterances. Complex, domain-based reasoning is not, on the whole, very much in evidence.