Papers › Evaluator for Emotionally Consistent Chatbots
Evaluator for Emotionally Consistent Chatbots
Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng
One challenge for evaluating current sequence- or dialogue-level chatbots, such as Empathetic Open-domain Conversation Models, is to determine whether the chatbot performs in an emotionally consistent way. The most recent work only evaluates on the aspects of context coherence, language fluency, response diversity, or logical self-consistency between dialogues. This work proposes training an evaluator to determine the emotional consistency of chatbots.
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