TAILIEUCHUNG - Báo cáo khoa học: "Tracking Initiative in Collaborative Dialogue Interactions"

In this paper, we argue for the need to distinguish between task and dialogue initiatives, and present a model for tracking shifts in both types of initiatives in dialogue interactions. Our model predicts the initiative holders in the next dialogue turn based on the current initiative holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues consistently improves the accuracy in the system' s prediction of task and dialogue initiative holders by 2-4 and 8-13 percentage points, respectively, thus illustrating the generality of our model. . | Tracking Initiative in Collaborative Dialogue Interactions Jennifer Chu-Carroll and Michael K. Brown Bell Laboratories Lucent Technologies 600 Mountain Avenue Murray Hill NJ 07974 . E-mail jencc mkb @ Abstract In this paper we argue for the need to distinguish between task and dialogue initiatives and present a model for ưacking shifts in both types of initiatives in dialogue interactions. Our model predicts the initiative holders in the next dialogue turn based on the current initiative holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues consistently improves the accuracy in the system s prediction of task and dialogue initiative holders by 2-4 and 8-13 percentage points respectively thus illustrating the generality of our model. 1 Introduction Naturally-occurring collaborative dialogues are very rarely if ever one-sided. Instead initiative of the interaction shifts among participants in a primarily principled fashion signaled by features such as linguistic cues prosodic cues and in face-to-face interactions eye gaze and gestures. Thus for a dialogue system to interact with its user in a natural and coherent manner it must recognize the user s cues for initiative shifts and provide appropriate cues in its responses to user utterances. Previous work on mixed-initiative dialogues focused on tracking a single thread of control among participants. We argue that this view of initiative fails to distinguish between task initiative and dialogue initiative which together determine when and how an agent will address an issue. Although physical cues such as gestures and eye gaze play an important role in coordinating initiative shifts in face-to-face interactions a great deal of information regarding initiative shifts can be exffacted from utterances based on linguistic and domain knowledge alone. By taking into account such cues during dialogue interactions the system is better

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