A Diversity-Promoting Objective Function for Neural Conversation Models

NAACL 2016 Jiwei LiMichel GalleyChris BrockettJianfeng GaoBill Dolan

Sequence-to-sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e.g., "I don't know") regardless of the input. We suggest that the traditional objective function, i.e., the likelihood of output (response) given input (message) is unsuited to response generation tasks... (read more)

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