Call for Task Participation: WASSA 2023 Shared Task on Emotion Classification on Code-Mixed Text Messages within ACL 2023
Iqra Ameer
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 at ACL 2023. 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 - Department of Biomedical Informatics & Data Science, Yale University, 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
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