The purpose of this workshop is to invite researchers from both academia and industries to bring their perspectives on building semi-supervised and reinforced task-oriented dialog (TOD) systems and to advance the field in joint effort.

Topics of interest

We welcome submissions from all levels of methodologies, algorithms, models, system developments, applications and datasets towards semi-supervised and reinforced TOD systems. All types of semi-supervised techniques are welcome, such as, to name a few, pre-training, self-training, self-supervised, weakly-supervised, transfer learning for zero-shot or few-shots, latent-variable modeling, and domain adaptation, and data augmentation. Both online and offline reinforcement learning techniques are welcome.

Topics of interest include, but are not limited to, the following:

  • General topics for task-oriented dialog systems
  • Semi-supervised information extraction and knowledge modeling
  • Grounded dialog with unstructured knowledge sources
  • Semi-supervised task-oriented dialog systems
  • Reinforced task-oriented dialog systems
  • User simulators
  • Important Dates

    Please refer to here!


  • Regular Submissions
  • We accept long papers (8 pages plus unlimited references), short papers (4 pages plus unlimited references), and system description papers for the challenge (in either long or short formats), which should conform to ACL submission information.
  • Non-Archival Submissions
  • Authors can submit a paper up to 2-8 pages long, with unlimited reference and supplementary material pages. The accepted papers can opt to be non-archival, i.e., the work could be published elsewhere before or after the workshop.
  • Review Process
  • All submissions will be peer-reviewed by at least two reviewers. The reviewing process will be double-blinded at the level of the reviewers. Authors are responsible for anonymizing the submissions.
  • Submission Format
  • All long and short submissions must follow the two-column ACL format, which are available as an Overleaf template and also downloadable directly (Latex and Word). Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format.
  • Submission Links and Deadlines
  • SereTOD Workshop will accept regular submissions through the softconf system, as well as commitment of already reviewed papers through the ACL Rolling Review (ARR) system.

    July 15, 2022: ARR paper due (submit via ARR)

    September 7, 2022: Regular paper due (submit via softconf)
    Please refer to the ARR Call for Papers for detailed information about submission guidelines to ARR. The commitment deadline for SereTOD 2022 (deadline for authors to submit their reviewed papers, reviews, and meta-review to SereTOD 2022) is October 2, 2022. Note that the paper needs to be fully reviewed by ARR in order to make a commitment, thus the latest date for ARR submission will be July 15, 2022.