Wise-Supervision @ AKBC2022

Weak, Indirect and Self Supervision for Knowledge Extraction

Virtual Workshop at AKBC 2022, London, UK
15:30~19:00 on November 5, 2022

Overview

Knowledge extraction (KE) was mainly driven by task-specific human annotations. Recent years have seen an increasing interest in KE with WISE supervision (Weak supervision, Indirect supervision, SElf-supervision, etc.). This workshop aims to provide a forum for researchers and practitioners from broad communities, such as information extraction (IE), knowledge graphs (KG), semantic web, and transfer learning, etc., to discuss the challenges and promises of KE when human annotations are limited.

Wise-Supervision 2022 aims to bring together researchers from different areas related to KE. As such, the workshop welcomes and covers a wide range of topics, including (non-exclusively):

  • IE/KE with indirect supervision from textual entailment, summarization, etc.
  • IE/KE with weak supervision and denoising.
  • IE/KE with self-supervision, e.g., pretrained LMs for IE/KE.
  • KG construction and consolidation.
  • Low-resource IE/KE.
  • KE in industry settings.

Contact: wenpeng.yin@temple.edu

Call for papers

We invite submissions that are flexibly aligned with the above topics. Since the workshop is not intended to have a proceeding comprising full versions of the papers, concurrent submissions to other venues, as well as accepted work, are allowed. Accepted work will be presented as oral during the workshop and listed on this website. At least one of the authors of each accepted submission will be required to present the work virtually.

  • Paper: 8 pages + reference
  • Paper: 4 pages + reference
  • Extended abstract: 1 page + reference

Openreview Submission Link

Registration

TBD

Important Dates

  • Oct. 15: Paper submission deadline
  • Oct. 20: Notification of acceptance
  • Nov. 5: Workshop

All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).

Invited Speakers

Prof. Heng Ji
University of Illinois
Urbana-Champaign

Prof. Eneko Agirre
University of
the Basque Country

Prof. Yizhou Sun
University of California
Los Angeles

Dr. Hoifung Poon
Microsoft Research
Redmond

We will also have a panel discussion with speakers.

Schedule

TBD

Organizing Committee

Wenpeng Yin
Temple
University
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Muhao Chen
University of
Southern
California

Lifu Huang
Virginia Tech
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Huan Sun
The Ohio
State University
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Hongming Zhang
Tencent AI Lab
Seattle

Benjamin Roth
University of
Vienna
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Barbara Plank
LMU Munich
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