2021 The 7th Workshop on Noisy User-generated Text (W-NUT)

Nov 11, 2020 -- collocated with EMNLP 2021.

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. Proceedings of the workshop include 54 accepted papers. Workshop schedule includes additional 24 EMNLP Finding papers.

We organized one shared-task MultiLexNorm: Multilingual Lexical Normalization. Data has been released. Official evaluation submission was due Sep 1, 2021.

Congratulations to the winners of the best paper awards, which are sponsored by Bloomberg this year:

Two runners-up are:

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
University of Melbourne

Invited Speakers

Yun-Nung (Vivian) Chen
National Taiwan University
Zornitsa Kozareva
Facebook AI
Zhiyuan Liu
Tsinghua University
Thamar Solorio
University of Houston / Bloomberg

Important Dates

Call for Papers

We seek submissions of long and short papers on original and unpublished work (same page limit EMNLP main conference). All accepted submissions will be presented as talks and/or posters at the workshop virtually, following the EMNLP 2021 main conference.

Topics of interest include but are not limited to:

All submissions should conform to EMNLP 2021 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 at the SoftConf link.

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must notify the workshop organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn.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