CLSep 30, 2018
Automatic Evaluation of Neural Personality-based Chatbots
arXiv:1810.00472v11093 citations
Originality Synthesis-oriented
AI Analysis
This addresses the need for better assessment of stylistic variation in conversational agents, but it appears incremental as it focuses on evaluation rather than generation.
The paper tackles the problem of evaluating how well sequence-to-sequence models generate responses reflecting different personality traits in open-domain chatbots, proposing a new method for this automatic evaluation.
Stylistic variation is critical to render the utterances generated by conversational agents natural and engaging. In this paper, we focus on sequence-to-sequence models for open-domain dialogue response generation and propose a new method to evaluate the extent to which such models are able to generate responses that reflect different personality traits.