Four Approaches to Developing Autonomous Facilitator Agent for Online and Face-to-Face Public Debate

Author:

Shiramatsu ShunORCID,Kitagawa Ko,Naito Shota,Koura Hiroaki,Cai Chao

Publisher

Springer International Publishing

Reference12 articles.

1. Cai, C., Shiramatsu, S.: Estimating Twitter user’s interest for inviting potential participants into Web-based debate platforms based on BERT. In: Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication, pp. 602–607 (2020)

2. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding, pp. 4171–4186 (2019)

3. Google: Speech-to-text conversion powered by machine learning. https://cloud.google.com/speech-to-text

4. Hayashi, K., Ichiki, S.: 175th FAJ Chubu Branch Extraordinary Regular Meeting: “AI $$\times $$ Facilitation” (2020). https://www.faj.or.jp/base/chubu/event/2020510aka/. (in Japanese)

5. Ikeda, Y., Shiramatsu, S.: Generating questions asked by facilitator agents using preceding context in web-based discussion. In: Proceedings of the 2nd IEEE International Conference on Agents, pp. 127–132 (2017)

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1. Method for Extracting Cases Relevant to Social Issues from Web Articles to Facilitate Public Debates;Proceedings of Sixth International Congress on Information and Communication Technology;2021-09-17

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