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Dr. Mohamed Taha Abd El-Fatah Taha Abd Allah :: Publications: |
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| Title: | BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts |
| Authors: | Nsrin Ashraf, Fathy Elkazaz, Mohamed Taha, and Hamada Nayel, |
| Year: | 2022 |
| Keywords: | Not Available |
| Journal: | the 16th International Workshop on Semantic Evaluation (SemEval-2022), Association for Computational Linguistics |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | 881–884 |
| Publisher: | Association for Computational Linguistics |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
This paper describes the systems submitted to iSarcasm shared task. The aim of iSarcasm is to identify the sarcastic contents in Arabic and English text. Our team participated in iSarcasm for the Arabic language. A multi-Layer machine learning based model has been submitted for Arabic sarcasm detection. In this model, a vector space TF-IDF has been used as for feature representation. The submitted system is simple and does not need any external resources. The test results show encouraging results. |
