An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss

17 Nov 2018Peixiang ZhongDi WangChunyan Miao

Affect conveys important implicit information in human communication. Having the capability to correctly express affect during human-machine conversations is one of the major milestones in artificial intelligence... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper