Summary of Computational Argumentation-based Chatbots: a Survey, by Federico Castagna et al.
Computational Argumentation-based Chatbots: a Survey
by Federico Castagna, Nadin Kokciyan, Isabel Sassoon, Simon Parsons, Elizabeth Sklar
First submitted to arxiv on: 7 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Chatbots have traditionally focused on conversational interactions, but recent advancements in computational argumentation have enabled them to engage in dialectical exchanges. This paper reviews existing research on argumentation-based chatbots, highlighting their benefits and drawbacks compared to traditional chatbots. The study also explores potential future developments and integration with Transformer-based architectures and Large Language models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Chatbots are computer programs that talk to people in a friendly way. A new idea is to make them use special rules to argue with people. This can be helpful, but it’s not perfect. Some experts have written about this idea, so we’re going to look at what they’ve said. We’ll see what works well and what doesn’t, and think about how we can make it even better in the future. |
Keywords
* Artificial intelligence * Transformer
