The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for
the workshop is at:

http://noisy-text.github.io/

The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and
translation; not computational social science) over user-generated text, such
as that found on social media, web forums, online reviews, digital health
records, or language learner essays.

We seek submissions of long and short papers on original and unpublished work
(same format and page limit as EACL main conference). All accepted
submissions will be presented as posters. Additionally, selected submissions
will be presented orally. There will be best paper awards for both short and
long papers.

Topics of interest include but are not limited to:
* NLP of noisy text, e.g. POS, NER tagging, Parsing
* Text normalization and error correction
* Paraphrase identification and semantic similarity of short text or noisy
text
* Extracting user demographics, profiles, and major life events
* Machine translation and Multilingual NLP over noisy text
* Information extraction from noisy text, global and regional trend
detection, and event extraction
* Colloquial language, e.g. idiom detection
* Domain adaptation to user-generated text
* Detecting rumors, contradictory information, sarcasm and humor on social
media
* Sentiment analysis
* Temporal aspects of user-generated content (resolving time expressions,
concept drift, etc...)
* Representing and mining language variation in user-generated content
* Processing of automatically generated data
* Robustness to Noise, both Natural and Adversarial

[IMPORTANT DATES]
* Submission Deadline: December 18, 2023 (anytime on earth; dual-submission
allowed)
* Acceptance Notification: January 20, 2024
* Camera-Ready Deadline: january 30, 2024
* Workshop Day: March 21/22, 2024

[INVITED SPEAKERS]
* Su Lin Blodgett
* Jennifer Foster

[ORGANIZERS]
* Tim Baldwin (University of Melbourne)
* Wei Xu (Georgia Institute of Technology)
* Alan Ritter (Georgia Institute of Technology)
* Rob van der Goot (IT University of Copenhagen)
* Max Müller-Eberstein (IT University of Copenhagen)

[SUBMISSION]

Submissions should conform to the ACL style guidelines. Long and short paper
submissions must be anonymized. Please submit your papers via OpenReview:

https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT