SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages
Malak Abdullah, Dalya Alnore, Safa Swedat, Jumana Khrais, Mahmoud Al-Ayyoub
Abstract
This paper presents solution systems for task 6 at SemEval2022, iSarcasmEval: Intended Sarcasm Detection In English and Arabic. The shared task 6 consists of three sub-task. We participated in subtask A for both languages, Arabic and English. The goal of subtask A is to predict if a tweet would be considered sarcastic or not. The proposed solution SarcasmDet has been developed using the state-of-the-art Arabic and English pre-trained models AraBERT, MARBERT, BERT, and RoBERTa with ensemble techniques. The paper describes the SarcasmDet architecture with the fine-tuning of the best hyperparameter that led to this superior system. Our model ranked seventh out of 32 teams in subtask A- Arabic with an f1-sarcastic of 0.4305 and Seventeen out of 42 teams with f1-sarcastic 0.3561. However, we built another model to score f-1 sarcastic with 0.43 in English after the deadline. Both Models (Arabic and English scored 0.43 as f-1 sarcastic with ranking seventh).- Anthology ID:
- 2022.semeval-1.144
- Volume:
- Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, United States
- Venue:
- SemEval
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1025–1030
- Language:
- URL:
- https://aclanthology.org/2022.semeval-1.144
- DOI:
- 10.18653/v1/2022.semeval-1.144
- Cite (ACL):
- Malak Abdullah, Dalya Alnore, Safa Swedat, Jumana Khrais, and Mahmoud Al-Ayyoub. 2022. SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1025–1030, Seattle, United States. Association for Computational Linguistics.
- Cite (Informal):
- SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages (Abdullah et al., SemEval 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.semeval-1.144.pdf
- Data
- iSarcasmEval