2022 The 8th Workshop on Noisy User-generated Text (W-NUT)

Oct 16, 2022 — collocated with COLING 2022.

The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. The workshop has accepted 25 papers (short and long). See the program schedule for further details.

News: best paper award, sponsored by Megagon Labs.

Workshop Organizers

Wei Xu
Assistant Professor
Georgia Institute of Technology
Afshin Rahimi
University of Queensland
Alan Ritter
Associate Professor
Georgia Institute of Technology
Tim Baldwin
MBZUAI and University of Melbourne

Invited Speakers

Yulia Tsvetkov
University of Washington
David Jurgens
University of Michigan

Important Dates

Call for Papers

We seek submissions of long and short papers on original and unpublished work (same page limit as the COLING 2022 main conference). All accepted submissions will be presented as talks and/or posters at the workshop virtually, following the COLING 2022 main conference.

Topics of interest include but are not limited to:

All submissions should conform to COLING 2022 style guidelines. Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on the front page, if applicable). Please submit your papers via SoftConf.

Double Submission Policy: Papers that have been or will be submitted to other meetings or publications must indicate at submission time. Authors of a paper accepted for presentation must notify the workshop organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn.

Program Committee