Welcome to 1st DialDoc Workshop at ACL-IJCNLP 2021!

Goal-oriented conversational systems can unlock 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 one scalable way to create personalized conversational systems is to have them arise directly from such content. There are significant individual research threads that show promises in handling heterogeneous knowledge embedded in the documents, including (1) unstructured content such as text passages (CoQA, QuAC, ShARC, Doc2Dial ); (2) semi-structured content such as tables or lists (SQA, HybridQA ); (3) multimedia such as images and videos with associated textual descriptions (RecipeQA, Clue, MultiModalQA); (4) or structured data specified by schema such as RDFa or Microdata in the webpages. The purpose of this workshop on Document-grounded Dialogue and Conversational QA is to invite researchers to bring their individual perspectives on the subject, and to advance the field in joint effort by providing a shared task and competition.

Invited Speakers

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


August 5, 2021, Thursday, 8:00 - 17:40 EDT