Computational Argumentation-based Chatbots: a Survey
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866914901868412928 |
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| author | Castagna, Federico Kokciyan, Nadin Sassoon, Isabel Parsons, Simon Sklar, Elizabeth |
| author_facet | Castagna, Federico Kokciyan, Nadin Sassoon, Isabel Parsons, Simon Sklar, Elizabeth |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_03454 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Computational Argumentation-based Chatbots: a Survey Castagna, Federico Kokciyan, Nadin Sassoon, Isabel Parsons, Simon Sklar, Elizabeth Artificial Intelligence 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. |
| title | Computational Argumentation-based Chatbots: a Survey |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2401.03454 |