Simultaneous prediction of dialog acts and address types in three-party conversations
Yosuke Matsusaka, Mika Enomoto, Yasuharu Den · 2007
This paper reports on automatic prediction of dialog acts and address types in three-party conversations. In multi-party interaction, dialog structure becomes more complex compared to one-to-one case, because there is more than one hearer for an utterance. To cope with this problem, we predict dialog acts and address types simultaneously on our framework. Prediction of dialog act labels has gained to 68.5% by considering both context and address types. CART decision tree analysis has also been applied to examine useful features to predict those labels.