| tech,4-1-E06-1022,ak | We present results on <term> addressee identification </term> in four-participants face-to-face meetings using <term> Bayesian Network and Naive Bayes classifiers </term> . | #11176 We present results onaddressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. | |
| tech,11-1-E06-1022,ak | We present results on <term> addressee identification </term> in four-participants face-to-face meetings using <term> Bayesian Network and Naive Bayes classifiers </term> . | #11183 We present results on addressee identification in four-participants face-to-face meetings usingBayesian Network and Naive Bayes classifiers. | |
| other,7-2-E06-1022,ak | First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze , utterance and conversational context features </term> . | #11197 First, we investigate how well theaddressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. | |
| other,10-2-E06-1022,ak | First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze , utterance and conversational context features </term> . | #11200 First, we investigate how well the addressee of adialogue act can be predicted based on gaze, utterance and conversational context features. | |
| other,17-2-E06-1022,ak | First , we investigate how well the <term> addressee </term> of a <term> dialogue act </term> can be predicted based on <term> gaze , utterance and conversational context features </term> . | #11207 First, we investigate how well the addressee of a dialogue act can be predicted based ongaze , utterance and conversational context features. | |
| other,7-3-E06-1022,ak | Then , we explore whether information about <term> meeting context </term> can aid <term> classifiers ' performances </term> . | #11222 Then, we explore whether information aboutmeeting context can aid classifiers' performances. | |
| other,11-3-E06-1022,ak | Then , we explore whether information about <term> meeting context </term> can aid <term> classifiers ' performances </term> . | #11226 Then, we explore whether information about meeting context can aidclassifiers ' performances. | |
| tech,1-4-E06-1022,ak | 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> . | #11231 Bothclassifiers perform the best when conversational context and utterance features are combined with speaker's gaze information. | |
| other,6-4-E06-1022,ak | 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> . | #11236 Both classifiers perform the best whenconversational context and utterance features are combined with speaker's gaze information. | |
| other,9-4-E06-1022,ak | 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> . | #11239 Both classifiers perform the best when conversational context andutterance features are combined with speaker's gaze information. | |
| other,14-4-E06-1022,ak | 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> . | #11244 Both classifiers perform the best when conversational context and utterance features are combined withspeaker 's gaze information. | |
| tech,1-5-E06-1022,ak | The <term> classifiers </term> show little gain from information about <term> meeting context </term> . | #11250 Theclassifiers show little gain from information about meeting context. | |
| other,8-5-E06-1022,ak | The <term> classifiers </term> show little gain from information about <term> meeting context </term> . | #11257 The classifiers show little gain from information aboutmeeting context. |
