Using high level dialogue information for dialogue act recognition using prosodic features.
Helen Wright, Massimo Poesio, Stephen D. Isard · ERA · 1999
We look at the effect of using high level discourse knowledge in dialogue act type detection. We also look at ways this knowledge can be used for improving language modelling and intonation modelling of utterance types. We find a significant improvement of predictability of dialogue models using higher level discourse knowledge. 1. INTRODUCTION This paper describes a method of dialogue act recognition that takes advantage of regularities in discourse at various levels from prosodic features to goal oriented dialogue information. Pragmatic theory (Levinson [7]) suggests that conversation follows a script and that sequences of dialogue acts are not random. For example, a query followed by a response, followed by an acknowledgement is more likely than three acknowledgements in succession. Dialog act identification is an important part of dialog systems such as Allen et al. [1], Lewin et al. [8]. It can also be used in automatic speech recognition systems to improve word error rate, Shr...