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Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System

Published 21 Dec 2023 in cs.CL, cs.AI, and cs.RO | (2312.13816v1)

Abstract: At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts. Our system generated queries for sightseeing spot searches using the common ground and engaged in dialogue while waiting for user comprehension.

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References (4)
  1. T. Minato, R. Higashinaka, K. Sakai, T. Funayama, H. Nishizaki, and T. Nagai, “Overview of Dialogue Robot Competition 2023,” in Proceedings of the Dialogue Robot Competition 2023, 2023.
  2. OpenAI, “GPT-4 Technical Report,” arXiv preprint arXiv:2303.08774, 2023.
  3. A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian, et al., “Do as I can, not as I say: Grounding language in robotic affordances,” in Conference on Robot Learning.   PMLR, 2023, pp. 287–318.
  4. M. Inaba, Y. Chiba, R. Higashinaka, K. Komatani, Y. Miyao, and T. Nagai, “Collection and Analysis of Travel Agency Task Dialogues with Age-Diverse Speakers,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, pp. 5759–5767.

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