Neural Response Generation for Customer Service based on Personality Traits
2017pp. 252–256
Citations Over TimeTop 10% of 2017 papers
Abstract
We present a neural response generation model that generates responses conditioned on a target personality. The model learns high level features based on the target personality, and uses them to update its hidden state. Our model achieves performance improvements in both perplexity and BLEU scores over a baseline sequence-to-sequence model, and is validated by human judges.
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