Automatic Evaluation of Neural Personality-based Chatbots. Xing, Y. & Fernández, R. In Proceedings of the 11th International Conference on Natural Language Generation (INLG), pages 189–194, Tilburg University, The Netherlands, November, 2018. Association for Computational Linguistics.
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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.
@inproceedings{xing-fernandez-2018-automatic,
    title = "Automatic Evaluation of Neural Personality-based Chatbots",
    author = "Xing, Yujie  and
      Fern{\'a}ndez, Raquel",
    booktitle = "Proceedings of the 11th International Conference on Natural Language Generation (INLG)",
    month = nov,
    year = "2018",
    address = "Tilburg University, The Netherlands",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-6524",
    doi = "10.18653/v1/W18-6524",
    pages = "189--194",
    url_github = {https://github.com/yujie-xing/Neural-Persona-based-Conversation-Model-Python-Version},
    abstract = "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.",
}

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