An Evaluation of Alternative Strategies for Implementing Dialogue Policies Using Statistical Classification and Rules

نویسندگان

  • David DeVault
  • Anton Leuski
  • Kenji Sagae
چکیده

We present and evaluate a set of architectures for conversational dialogue systems, exploring rule-based and statistical classification approaches. In a case study, we show that while a rule-based dialogue policy is capable of high performance if perfect natural language understanding is assumed, a direct classification approach that combines the dialogue policy with NLU has practical advantages.

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تاریخ انتشار 2011