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arXiv 2010.03369cs.CLcs.AI

Toward Stance-based Personas for Opinionated Dialogues

Sorbonne Université(索邦大学);CNRS(法国国家科学研究中心);Fondazione Bruno Kessler(布鲁诺·凯斯勒基金会);reciTAL(reciTAL公司)

Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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