Abstract
We present the results of the WASSA 2023 Shared-Task 2: Emotion Classification on code-mixed text messages (Roman Urdu + English), which included two tracks for emotion classification: multi-label and multi-class. The participants were provided with a dataset of code-mixed SMS messages in English and Roman Urdu labeled with 12 emotions for both tracks. A total of 5 teams (19 team members) participated in the shared task. We summarized the methods, resources, and tools used by the participating teams. We also made the data freely available for further improvements to the task.- Anthology ID:
- 2023.wassa-1.56
- Volume:
- Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 587–595
- Language:
- URL:
- https://aclanthology.org/2023.wassa-1.56
- DOI:
- Cite (ACL):
- Iqra Ameer, Necva Bölücü, Hua Xu, and Ali Al Bataineh. 2023. Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 587–595, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages (Ameer et al., WASSA 2023)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2023.wassa-1.56.pdf