2000 character limit reached
Evaluator for Emotionally Consistent Chatbots (2112.01616v1)
Published 2 Dec 2021 in cs.CL and cs.AI
Abstract: 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.
- Chenxiao Liu (6 papers)
- Guanzhi Deng (4 papers)
- Tao Ji (28 papers)
- Difei Tang (3 papers)
- Silai Zheng (1 paper)