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Computational Argumentation-based Chatbots: a Survey

Authors :
Castagna, Federico
Kokciyan, Nadin
Sassoon, Isabel
Parsons, Simon
Sklar, Elizabeth
Publication Year :
2024

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2401.03454
Document Type :
Working Paper
Full Text :
https://doi.org/10.1613/jair.1.15407