Paper: Tracking Initiative In Collaborative Dialogue Interactions

ACL ID P97-1034
Title Tracking Initiative In Collaborative Dialogue Interactions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

In this paper, we argue for the need to dis- tinguish 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 initia- tive holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues con- sistently improves the accuracy in the system' s prediction of task and dialogue initiative hold- ers by 2-4 and 8-13 percentage points, respec- tively, thus illustrating the generality of our model.