Probabilistic dialogue modelling
Oliver Lemon, Prashant Parikh, Stanley Peters · 2002
We show how Bayesian networks and related probabilistic methods provide an efficient way of capturing the complex balancing of different factors that determine interpretation and generation in dialogue. As a case study, we show how a probabilistic approach can be used to model anaphora resolution in dialogue.