TR2023-109

Overview of the Tenth Dialog System Technology Challenge: DSTC10

    •  Yoshino, K., Chen, Y.-N., Crook, P., Kottur, S., Li, J., Hedayatnia, B., Moon, S., Fe, Z., Li, Z., Zhang, J., Fen, Y., Zhou, J., Kim, S., Liu, Y., Jin, D., Papangelis, A., Gopalakrishnan, K., Hakkani-Tur, D., Damavandi, B., Geramifard, A., <br /><br /> Hori, C., Shah, A., Zhang, C., Li, H., Sedoc, J., D’Haro, L.F., Banchs, R., Rudnicky, A., "Overview of the Tenth Dialog System Technology Challenge: DSTC10", IEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2023.3293030, pp. 1-14, August 2023.
      BibTeX TR2023-109 PDF
      • @article{Yoshino2023aug,
      • author = {Yoshino, Koichiro and Chen, Yun-Nung and Crook, Paul and Kottur, Satwik and Li, Jinchao and Hedayatnia, Behnam and Moon, Seungwhan and Fe, Zhengcong and Li, Zekang and Zhang, Jinchao and Fen, Yang and Zhou, Jie and Kim, Seokhwan and Liu, Yang and Jin, Di and Papangelis, Alexandros and Gopalakrishnan, Karthik and Hakkani-Tur, Dilek and Damavandi, Babak and Geramifard, Alborz and

        Hori, Chiori and Shah, Ankit and Zhang, Chen and Li, Haizhou and Sedoc, João and D’Haro, Luis F. and Banchs, Rafael and Rudnicky, Alexander},
      • title = {Overview of the Tenth Dialog System Technology Challenge: DSTC10},
      • journal = {IEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2023,
      • pages = {1--14},
      • month = aug,
      • doi = {10.1109/TASLP.2023.3293030},
      • issn = {2329-9290},
      • url = {https://www.merl.com/publications/TR2023-109}
      • }
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  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning, Speech & Audio

Abstract:

This paper introduces the Tenth Dialog System Technology Challenge (DSTC-10). This edition of the DSTC focuses on applying end-to-end dialog technologies for five distinct tasks in dialog systems, namely 1. Incorporation of Meme images into open domain dialogs, 2. Knowledge-grounded Task- oriented Dialogue Modeling on Spoken Conversations, 3. Situated Interactive Multimodal dialogs, 4. Reasoning for Audio Visual Scene-Aware Dialog, and 5. Automatic Evaluation and Moderation of Open-domain Dialogue Systems. This paper describes the task definition, provided datasets, baselines, and evaluation setup for each track. We also summarize the results of the submitted systems to highlight the general trends of the state-of-the-art technologies for the tasks.