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.- Anthology ID:
- W18-6524
- Volume:
- Proceedings of the 11th International Conference on Natural Language Generation
- Month:
- November
- Year:
- 2018
- Address:
- Tilburg University, The Netherlands
- Editors:
- Emiel Krahmer, Albert Gatt, Martijn Goudbeek
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 189–194
- Language:
- URL:
- https://aclanthology.org/W18-6524
- DOI:
- 10.18653/v1/W18-6524
- Cite (ACL):
- Yujie Xing and Raquel Fernández. 2018. Automatic Evaluation of Neural Personality-based Chatbots. In Proceedings of the 11th International Conference on Natural Language Generation, pages 189–194, Tilburg University, The Netherlands. Association for Computational Linguistics.
- Cite (Informal):
- Automatic Evaluation of Neural Personality-based Chatbots (Xing & Fernández, INLG 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/W18-6524.pdf