Addressee Identification in Face-to-Face Meetings

We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers' performances. Both classifiers perform the best when conversational context and utterance features are combined with speaker's gaze information. The classifiers show little gain from information about meeting context.

• Type: Conference
• Year: 2006
• Where: EACL
• Authors: Natasa Jovanovic, Rieks op den Akker, Anton Nijholt
• Keywords: Conversational Context, Conversational Context Features, EACL 2006, Naive Bayes Classifiers, Natural Language Processing