Chalaguine, LA;
Hunter, A;
(2019)
Knowledge acquisition and corpus for argumentation-based chatbots.
In:
Proceedings of the 3rd Workshop on Advances In Argumentation In Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019).
(pp. pp. 1-14).
CEUR Workshop Proceedings
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Abstract
Many of the conversations we have every day involve exchanges of arguments and counteraguments. In the context of artificial intelligence and argumentation theory, such phenomena fall into the area of dialogical argumentation. Conversational agents, also known as chatbots, are versatile tools that have the potential of being used in dialogical argumentation. We can assume that a chatbot would take a particular stance in the dialogue, opposing the stance of the user. In order to succeed, the chatbot also needs to be aware of various arguments and the interplay between them. Such knowledge can be represented by a directed graph, where nodes stand for arguments and arcs symbolise conflicts between them. The chatbot must be aware of both sides of the discussion, i.e. the arguments that it can play as well as ones that the user might have, to be able to formulate convincing responses. The availability of large argument graphs for research, however, is very limited. This means that researchers do not have corpora available which hinders the development of new chatbots and limits the e↵ectiveness of existing ones. In this paper, we propose a method to acquire a large number of arguments in a graph structure using crowd sourcing. We evaluate this method in a study with participants and present a corpus which can be used for further research in computational argumentation and chatbot technologies for argumentation.
| Type: | Proceedings paper |
|---|---|
| Title: | Knowledge acquisition and corpus for argumentation-based chatbots |
| Event: | 3rd Workshop on Advances In Argumentation In Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019) |
| Location: | Rende, Italy |
| Dates: | 19th-22nd November 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://ceur-ws.org/Vol-2528/ |
| Language: | English |
| Additional information: | © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | argument acquisition, computational argumentation, automated chatbot knowledge acquisition, argument graphs, argument corpus |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10092808 |
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