| tech,4-1-E06-1022,ak | algorithm </term> . We present results on <term> | addressee identification | </term> in four-participants face-to-face | #11176 We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. | |
| other,10-2-E06-1022,ak | well the <term> addressee </term> of a <term> | dialogue act | </term> can be predicted based on <term> gaze | #11200 First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. | |
| other,7-3-E06-1022,ak | explore whether information about <term> | meeting context | </term> can aid <term> classifiers ' performances | #11222 Then, we explore whether information about meeting context can aid classifiers' performances. | |
| other,8-5-E06-1022,ak | little gain from information about <term> | meeting context | </term> . Most state-of-the-art <term> evaluation | #11257 The classifiers show little gain from information about meeting context . |
