Results of the Multi-Domain Task-Completion Dialog Challenge
Jinchao Li, Baolin Peng, Sung‐Jin Lee, Jianfeng Gao, Ryuichi Takanobu, Qi Rui Zhu, Minlie Huang, Hannes Schulz, Adam Atkinson, Mahmoud Adada · National Conference on Artificial Intelligence · 2020
The paper provides an overview of the “Multi-domain Task Completion” track (Track 1) at the 8th Dialog System Technology Challenge (DSTC-8). There are two tasks in this track. The first task is end-to-end multi-domain task-completion, which aims to build end-to-end task completion dialog systems based on ConvLab. The second task is fast domain adaptation, seeking to develop models that predict user responses when only limited in-domain data is available. We describe the submissions for both tasks, automatic evaluation and human evaluation procedures, and discuss the outcomes of these two evaluations.