Quantifying ellipsis in dialogue: an index of mutual understanding

Authors:
Marcus Colman;Arash Eshghi;Patrick G. T. Healey
Affiliations:
University of London, UK;University of London, UK;University of London, UK
Venue:
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Year:
2008

Citing 4
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Classifying ellipsis in dialogue: a machine learning approach

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Abstract

This paper presents a coding protocol that allows naïve users to annotate dialogue transcripts for anaphora and ellipsis. Cohen's kappa statistic demonstrates that the protocol is sufficiently robust in terms of reliability. It is proposed that quantitative ellipsis data may be used as an index of mutual-engagement. Current and potential uses of ellipsis coding are described.