Summary of Towards Negotiative Dialogue For the Talkamatic Dialogue Manager, by Staffan Larsson et al.
Towards Negotiative Dialogue for the Talkamatic Dialogue Manager
by Staffan Larsson, Alexander Berman, David Hjelm
First submitted to arxiv on: 3 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 As machine learning educators strive to advance the field of negotiative dialogue, researchers have developed a novel approach by implementing a number of dialogue phenomena associated with this type of conversation. The Talkamatic Dialogue Manager (TDM), in its development version, has been instrumental in achieving full coverage of general features of negotiative dialogue. This paper presents an initial step towards this goal, showcasing the potential of TDM to improve our understanding and applications of negotiative dialogue. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research is about a special kind of conversation called negotiative dialogue. It’s like when you’re trying to agree on something with someone else. The researchers want to make a computer program that can have these kinds of conversations too. They’ve made some progress by adding certain features to the Talkamatic Dialogue Manager (TDM). This is an important step towards making computers better at having meaningful talks. |
Keywords
» Artificial intelligence » Machine learning
