Computational Argumentation-based Chatbots: a Survey

• URL: http://arxiv.org/abs/2401.03454v1
• Date: Sun, 7 Jan 2024 11:20:42 GMT
• Title: Computational Argumentation-based Chatbots: a Survey
• Authors: Federico Castagna, Nadin Kokciyan, Isabel Sassoon, Simon Parsons, Elizabeth Sklar
• Abstract summary: The present survey sifts through the literature to review papers concerning this kind of argumentation-based bot. It draws conclusions about the drawbacks and benefits of this approach. It also envisaging possible future development and integration with the Transformer-based architecture and state-of-the-art Large Language models.
• Score: 0.4024850952459757
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Chatbots are conversational software applications designed to interact dialectically with users for a plethora of different purposes. Surprisingly, these colloquial agents have only recently been coupled with computational models of arguments (i.e. computational argumentation), whose aim is to formalise, in a machine-readable format, the ordinary exchange of information that characterises human communications. Chatbots may employ argumentation with different degrees and in a variety of manners. The present survey sifts through the literature to review papers concerning this kind of argumentation-based bot, drawing conclusions about the benefits and drawbacks that this approach entails in comparison with standard chatbots, while also envisaging possible future development and integration with the Transformer-based architecture and state-of-the-art Large Language models.

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