Dialogue Act Modelling Using Bayesian Networks

نویسنده

  • Simon Keizer
چکیده

A probabilistic approach to interpretation of natural language utterances in terms of dialogue acts is proposed. It is illustrated how using Bayesian Networks, partial information obtained from an NLP component can be combined with knowledge the agent has about the state of the dialogue and about the user, in order to find the most probable dialogue act made.

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تاریخ انتشار 2001