tech,4-1-E06-1022,bq We present results on <term> addressee identification </term> in <term> four-participants face-to-face meetings </term> using <term> Bayesian Network </term> and <term> Naive Bayes classifiers </term> .
other,7-1-E06-1022,bq We present results on <term> addressee identification </term> in <term> four-participants face-to-face meetings </term> using <term> Bayesian Network </term> and <term> Naive Bayes classifiers </term> .
tech,11-1-E06-1022,bq We present results on <term> addressee identification </term> in <term> four-participants face-to-face meetings </term> using <term> Bayesian Network </term> and <term> Naive Bayes classifiers </term> .
tech,14-1-E06-1022,bq We present results on <term> addressee identification </term> in <term> four-participants face-to-face meetings </term> using <term> Bayesian Network </term> and <term> Naive Bayes classifiers </term> .
other,7-2-E06-1022,bq First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze </term> , <term> utterance </term> and <term> conversational context features </term> .
other,10-2-E06-1022,bq First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze </term> , <term> utterance </term> and <term> conversational context features </term> .
other,17-2-E06-1022,bq First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze </term> , <term> utterance </term> and <term> conversational context features </term> .
other,19-2-E06-1022,bq First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze </term> , <term> utterance </term> and <term> conversational context features </term> .
other,21-2-E06-1022,bq First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze </term> , <term> utterance </term> and <term> conversational context features </term> .
other,7-3-E06-1022,bq Then , we explore whether information about <term> meeting context </term> can aid <term> classifiers </term> ' <term> performances </term> .
tech,11-3-E06-1022,bq Then , we explore whether information about <term> meeting context </term> can aid <term> classifiers </term> ' <term> performances </term> .
other,13-3-E06-1022,bq Then , we explore whether information about <term> meeting context </term> can aid <term> classifiers </term> ' <term> performances </term> .
tech,1-4-E06-1022,bq Both <term> classifiers </term> perform the best when <term> conversational context </term> and <term> utterance features </term> are combined with <term> speaker 's gaze information </term> .
other,6-4-E06-1022,bq Both <term> classifiers </term> perform the best when <term> conversational context </term> and <term> utterance features </term> are combined with <term> speaker 's gaze information </term> .
other,9-4-E06-1022,bq Both <term> classifiers </term> perform the best when <term> conversational context </term> and <term> utterance features </term> are combined with <term> speaker 's gaze information </term> .
other,14-4-E06-1022,bq Both <term> classifiers </term> perform the best when <term> conversational context </term> and <term> utterance features </term> are combined with <term> speaker 's gaze information </term> .
tech,1-5-E06-1022,bq The <term> classifiers </term> show little <term> gain </term> from information about <term> meeting context </term> .
other,4-5-E06-1022,bq The <term> classifiers </term> show little <term> gain </term> from information about <term> meeting context </term> .
other,8-5-E06-1022,bq The <term> classifiers </term> show little <term> gain </term> from information about <term> meeting context </term> .
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