Overview

Welcome to 1st Workshop on Document-grounded Dialogue and Conversational QA!

Goal-oriented conversational systems can unlock access to a vast amount of information in the associated documents, in which written and visual content dominate the way that individuals and organizations choose to present their interests and knowledge to the world. We posit that the most scalable way to create personalized conversational systems is to have them arise directly from such content. There are significant individual research threads that show promise in handling heterogeneous knowledge embedded in the documents, including (1) unstructured content such as text passages (CoQA, QuAC, ShARC, DoQA); (2) semi-structured content such as tables or lists (SQA, HybridQA); (3) multimedia such as images and videos with associated textual descriptions (RecipeQA, PsTuts-VQA); (4) or structured data specified by schema such as RDFa or Microdata in the webpages. The purpose of this workshop is to invite researchers to bring their individual perspectives on the subject of document-grounded dialogue and conversational QA, and to advance the field in a coordinated manner by proposing a common task and competition.

Call for Papers

We welcome submissions of original and unpublished work as long and short papers. All accepted submissions will be presented at the workshop.

Topics of interest include but are not limited to:
  • Document-grounded dialogue / conversatial machine reading
  • Machine reading comprehension / contextual QA / sequential QA over documents
  • Conversational search among domain documents
  • Topical chat based on associated documents
  • Parsing semi-structured document content for sequential QA or dialogue / table reading
  • Policy learning for document-guided dialogue agents
  • Task-oriented knowledge-grounded multimodel dialogue
    • task-oriented situated dialogue
    • task-oriented domain-knowledge-grounded VQA
    • task-oriented video-based dialogue
  • Evaluations for document-grounded dialogue
  • Transfer learning for document-grounded dialogue systems on low-resource domains
  • Summarization of document-grounded dialogues
  • Model interpretation of document-grounded dialogues
Check out our shared task! The papers and systems on shared task can be submitted to the main research track or techincal system track.
Submission links via softconf are coming soon.

Important Dates

  • Workshop Paper Due Date: April 26, 2021
  • Notification of Acceptance: May 28, 2021
  • Camera-ready papers due: June 7, 2021
  • Workshop Dates: August 5-6, 2021

Invited Speakers

Jonathan Berant (Tel-Aviv University)
Danqi Chen (Princeton University)
Raquel Fernández (University of Amsterdam)
Dilek Hakkani-Tur (Amazon Alexa AI)
Sebastian Riedel (University College London)
Verena Rieser (Heriot-Watt University)
Jason Weston (Facebook AI Research)
William Wang Yang (University of California, Santa Barbara)
Scott (Wen-tau) Yih (Facebook AI Research)

Organizers

Malihe Alikhani (University of Pittsburgh)
Song Feng (IBM Research)
He He (New York University)
Mohit Iyyer (University of Massachusetts Amherst)
Yangfeng Ji (University of Virginia)
Siva Reddy (McGill University, MILA)
Zhou Yu (University of California, Davis)