TY - JOUR
T1 - Overview of the Ninth Dialog System Technology Challenge
T2 - DSTC9
AU - Gunasekara, Chulaka
AU - Kim, Seokhwan
AU - D'haro, Luis Fernando
AU - Rastogi, Abhinav
AU - Chen, Yun Nung
AU - Eric, Mihail
AU - Hedayatnia, Behnam
AU - Gopalakrishnan, Karthik
AU - Liu, Yang
AU - Huang, Chao Wei
AU - Hakkani-Tur, Dilek
AU - Li, Jinchao
AU - Zhu, Qi
AU - Luo, Lingxiao
AU - Liden, Lars
AU - Huang, Kaili
AU - Shayandeh, Shahin
AU - Liang, Runze
AU - Peng, Baolin
AU - Zhang, Zheng
AU - Shukla, Swadheen
AU - Huang, Minlie
AU - Gao, Jianfeng
AU - Mehri, Shikib
AU - Feng, Yulan
AU - Gordon, Carla
AU - Alavi, Seyed Hossein
AU - Traum, David
AU - Eskenazi, Maxine
AU - Beirami, Ahmad
AU - Cho, Eunjoon
AU - Crook, Paul A.
AU - De, Ankita
AU - Geramifard, Alborz
AU - Kottur, Satwik
AU - Moon, Seungwhan
AU - Poddar, Shivani
AU - Subba, Rajen
N1 - This work was supported in part by ASTOUND under Grant 101071191 HORIZON-EIC-2021-PATHFINDERCHALLENGES-01, in part by BEWORD under Grant PID2021-126061OB-C43, and in part by GENIUS under Grant APOYO-JOVENES-21-TAXTYC-32-K61X37.
PY - 2024
Y1 - 2024
N2 - This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in dialog systems, namely, 1. Task-oriented dialog Modeling with Unstructured Knowledge Access, 2. Multi-domain task-oriented dialog, 3. Interactive evaluation of dialog and 4. Situated interactive multimodal dialog. 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.
AB - This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in dialog systems, namely, 1. Task-oriented dialog Modeling with Unstructured Knowledge Access, 2. Multi-domain task-oriented dialog, 3. Interactive evaluation of dialog and 4. Situated interactive multimodal dialog. 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.
KW - Artificial intelligence
KW - chatbots
KW - computational intelligence
KW - computational linguistics
KW - human computer interaction
KW - human-machine systems
KW - natural language generation
KW - natural language processing
KW - personal voice assistants
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U2 - 10.1109/TASLP.2024.3426331
DO - 10.1109/TASLP.2024.3426331
M3 - Article
AN - SCOPUS:85198371779
SN - 2329-9290
VL - 32
SP - 4066
EP - 4076
JO - IEEE/ACM Transactions on Audio Speech and Language Processing
JF - IEEE/ACM Transactions on Audio Speech and Language Processing
ER -