Dialogue act prediction using stochastic context-free grammar induction
Jeroen Geertzen · 2009
This paper presents a model-based approach to dialogue management that is guided by data-driven dialogue act prediction. The statistical prediction is based on stochastic context-free grammars that have been obtained by means of grammatical inference. The prediction performance of the method compares favourably to that of a heuristic baseline and to that of n-gram language models.