Task-oriented dialog (TOD) systems are designed to assist users to accomplish their goals. Recently, neural generative approaches have attracted more and more attention, beyond traditional rule-based approaches. Unfortunately, building TOD systems remains a label-intensive, time-consuming task for the reliance on manually labeled dialog data and annotated task-related knowledge base. However, unlabeled data are often easily available in many forms such as human-to-human dialogs, open-domain text corpus, and unstructured knowledge documents. Moreover, the nature of sequential decision making is not fully considered in current TOD systems. The purpose of this workshop is to invite researchers from both academia and industry to share their perspectives on building semi-supervised and reinforced TOD systems, discuss challenges and advance the field in joint effort. A shared task and challenge will be organized for benchmarking and stimulating relevant researches, with a newly released large-scale, multi-domain TOD dataset which consists of 100K real-world dialogs.
The code repository for baseline systems and evaluation scripts for both Track 1 and Track 2 are released.
The MobileCS dataset for SereTOD Challenge has been released to registered teams.
SereTOD Challenge Kickoff Seminar is completed! Introduction to the Challenge (by Zhijian Ou), talk videos from invited speakers (from Xiaodong He, Luo Si, Kai Yu, Zhengyu Niu, Wanxiang Che), panel recording (hosted by Junlan Feng), are available here
Registration opening for challenge, as detailed in Call for Participation!
Call for Papers
|May 31 July 1, 2022 |
|Registration deadline for challenge (extended)
|June 1 July 1, 2022 |
|Training data release (extended)
|July 15, 2022
||ACL Rolling Review paper due (submit via ARR)
|August 14, 2022
||Evaluation data release
| August 21, 2022
||Entry submission deadline
|August 31, 2022
||Evaluation results announced
|September 7, 2022
||Regular paper due (submit via softconf)
|October 9, 2022
||Notification of paper acceptance
|October 16, 2022
||Camera-ready papers due
|December 7, 2022
||EMNLP 2022 Workshop Date
Pascale Fung, HKUST
Dilek Hakkani-Tur, Amazon
Jason Williams, Apple
Welcome to sponsor our workshop! Please contact Organizers.
Zhijian Ou (email@example.com)
Junlan Feng (firstname.lastname@example.org)
Juanzi Li (email@example.com)