Toward Stance-based Personas for Opinionated Dialogues
Autor: | Serra Sinem Tekiroglu, Marco Guerini, Jacopo Staiano, Thomas Scialom |
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Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer science media_common.quotation_subject 020206 networking & telecommunications Context (language use) 02 engineering and technology Representation (arts) Persona 010501 environmental sciences 01 natural sciences Epistemology Artificial Intelligence (cs.AI) 0202 electrical engineering electronic engineering information engineering Personality Computation and Language (cs.CL) 0105 earth and related environmental sciences media_common |
Zdroj: | EMNLP (Findings) |
DOI: | 10.48550/arxiv.2010.03369 |
Popis: | 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. Comment: Accepted at Findings of EMNLP 2020 |
Databáze: | OpenAIRE |
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