6th SIGdial Workshop on Discourse and Dialogue

Lisbon, Portugal
September 2-3, 2005

Using Bigrams to Identify Relationships Between Student Certainness States and Tutor Responses in a Spoken Dialogue Corpus

Kate Forbes-Riley, Diane J. Litman

University of Pittsburgh Department of Computer Science & Learning Research and Development Center Pittsburgh, PA, USA

We use n-gram techniques to identify dependencies between student affective states of certainty and subsequent tutor dialogue acts, in an annotated corpus of human-human spoken tutoring dialogues. We first represent our dialogues as bigrams of annotated student and tutor turns. We next use chi2 2 analysis to identify dependent bigrams. Our results show dependencies between many student states and subsequent tutor dialogue acts. We then analyze the dependent bigrams and suggest ways that our current computer tutor can be enhanced to adapt its dialogue act generation based on these dependencies.

Full Paper

Bibliographic reference.  Forbes-Riley, Kate / Litman, Diane J. (2005): "Using bigrams to identify relationships between student certainness states and tutor responses in a spoken dialogue corpus", In SIGdial6-2005, 87-96.