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The ability of a dialog system to express prespecified language style during conversations has a direct, positive impact on its usability and on user satisfaction.
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An ensemble of retrieval-based and generation-based human-computer conversation systems
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Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
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Structuring latent spaces for stylized response generation
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Language models are unsupervised multitask learners
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Response generation by context-aware prototype editing
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Retrieval-enhanced adversarial training for neural response generation
Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, and Ting Liu. 2019 · 2019
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Stylistic dialogue generation viainformation-guided reinforcement learning strategy
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