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Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue. (arXiv:2203.07657v3 [cs.CL] UPDATED)
Sept. 26, 2022, 1:15 a.m. | Maximillian Chen, Weiyan Shi, Feifan Yan, Ryan Hou, Jingwen Zhang, Saurav Sahay, Zhou Yu
cs.CL updates on arXiv.org arxiv.org
Complex conversation settings such as persuasion involve communicating
changes in attitude or behavior, so users' perspectives need to be addressed,
even when not directly related to the topic. In this work, we contribute a
novel modular dialogue system framework that seamlessly integrates factual
information and social content into persuasive dialogue. Our framework is
generalizable to any dialogue tasks that have mixed social and task contents.
We conducted a study that compared user evaluations of our framework versus a
baseline end-to-end …
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