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.
@article{arxiv.2010.03369,
title = {Toward Stance-based Personas for Opinionated Dialogues},
author = {Thomas Scialom and Serra Sinem Tekiroglu and Jacopo Staiano and Marco Guerini},
journal= {arXiv preprint arXiv:2010.03369},
year = {2020}
}