Dialogue act recognition under uncertainty using bayesian networks

摘要: In this paper we discuss the task of dialogue act recognition as a part interpreting user utterances in context. To deal with uncertainty that is inherent natural language processing general and particular use machine learning techniques to train classifiers from corpus data. These make both lexical features (Dutch) keyboard-typed used, context form acts previous utterances. particular, consider probabilistic models Bayesian networks be proposed more framework for dealing modelling process.