We invite you to participate in the shared task on Multi-Label and
Multi-Class Emotion Classification on Code-Mixed Text Messages, organized
as part of WASSA 2023 <https://wassa-workshop.github.io/>at ACL 2023
<https://2023.aclweb.org/>. This task aims to develop models that can
predict emotion based on code-mixed (Roman Urdu and English) text messages.
*Task Description*
The shared task has two Tracks:
*Track 1 - Multi-Label Emotion Classification (MLEC):* Given a code-mixed
SMS message, classify it as 'neutral or no emotion' or as one, or more, of
eleven given emotions that best represent the mental state of the author.
*Track 2 - Multi-Class Emotion Classification (MCEC):* Given a code-mixed
SMS message, classify it as 'neutral or no emotion' or as one of eleven
given emotions that best represent the mental state of the author.
*Note: *You are free to participate in any or both tracks.
*For participation, please check:*
https://codalab.lisn.upsaclay.fr/competitions/10864
*Important Dates*
- February 28th, 2023: Initial training data release
- February 28th, 2023: Codalab competition website goes online, and
development data released
- April 15th, 2023: Evaluation phase begins: development labels test
data released
- April 18th, 2023: Deadline submission of final result on Codalab
- April 24th, 2023: Deadline system description paper (max. 4p)
- May 22nd, 2023: Notification of acceptance
- June 6th, 2023: Camera-ready papers due
*Task Organizers*
- Iqra Ameer - School of Biomedical Informatics, University of Texas,
Health Science Center Houston, USA
- Necva Bölücü - Commonwealth Scientific and Industrial Research
Organisation, Australia
- Ali Al Bataineh - Department of Electrical and Computer Engineering
Norwich University, USA
- Hua Xu - Section of Biomedical Informatics and Data Science, School of
Medicine, Yale University, USA
*Contact*
wassa23codemixed [at] gmail [dot] com
*Join Google Group*
wassa23codemixed(a)googlegroups.com
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*Regards,*
Dr. Iqra Ameer (Ph.D.)