Toward Stance-based Personas for Opinionated Dialogues
Thomas Scialom, Serra Sinem Tekiroğlu, Jacopo Staiano, Marco Guerini
Abstract
In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations. Still, the representation of such personas has thus far been limited to a fact-based representation (e.g. “I have two cats.”). We argue that these representations remain superficial w.r.t. the complexity of human personality. In this work, we propose to make a step forward and investigate stance-based persona, trying to grasp more profound characteristics, such as opinions, values, and beliefs to drive language generation. To this end, we introduce a novel dataset allowing to explore different stance-based persona representations and their impact on claim generation, showing that they are able to grasp abstract and profound aspects of the author persona.- Anthology ID:
- 2020.findings-emnlp.238
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2020
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Trevor Cohn, Yulan He, Yang Liu
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2625–2635
- Language:
- URL:
- https://aclanthology.org/2020.findings-emnlp.238
- DOI:
- 10.18653/v1/2020.findings-emnlp.238
- Cite (ACL):
- Thomas Scialom, Serra Sinem Tekiroğlu, Jacopo Staiano, and Marco Guerini. 2020. Toward Stance-based Personas for Opinionated Dialogues. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2625–2635, Online. Association for Computational Linguistics.
- Cite (Informal):
- Toward Stance-based Personas for Opinionated Dialogues (Scialom et al., Findings 2020)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2020.findings-emnlp.238.pdf