Cue Phrase Selection in Instruction Dialogue Using Machine Learning
Yukiko Nakano, Tsuneaki Kato · 1998
The purpose of this pape is to identify effective factors for selecting discourse organization cue phrases in instruction dialogue that signM changes in discourse structure such as topic shifts and attentional state changes. By using a machine learning technique, a variety of features concerning discourse structure, task structure, and dialogue context are examined in terms of their effectiveness and the best set of learning 2eaturea is identified. Our result reveals that, in addition to discourse structure, already identified in previous studies, task structure and alogue context play an important role. Moreover, an evaluation using a large dialogue corpus shows the utility of applying machine learning techniques to cue phrase selection.