In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its applicatio...
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
In this paper, we investigate the problem of automatically predicting segment boundaries in spoken multiparty dialogue. We extend prior work in two ways. We first apply approaches...
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
Abstract. User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how indiv...
Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Ok...