This study explores the use of features from multiple knowledge sources (i.e., words, prosody, motion, interaction cues, speaker intention and role) for developing an automatic segmentation component in spontaneous, multiparty conversational speech.
we addressed the following questions: (1) Can a MaxEnt classifier integrate the potentially characteristic multimodal features for automatic dialogue segmentation?