An Evaluation of Alternative Strategies for Implementing Dialogue Policies Using Statistical Classification and Rules
David DeVault, Anton Leuski, Kenji Sagae · 2011
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. 1