📰 SemEval 2022: all papers in our library

31 works · the most cited first · ← SemEval 2022

1. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationInternational Workshop on Semantic Evaluation (SemEval)Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
2. SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)International Workshop on Semantic Evaluation (SemEval)Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.2022 · 190 citations
3. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
4. SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence EmbeddingInternational Workshop on Semantic Evaluation (SemEval)Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al.2022 · 108 citations
5. Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word EmbeddingsInternational Workshop on Semantic Evaluation (SemEval)Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.2022 · 59 citations
6. stce at SemEval-2022 Task 6: Sarcasm Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Mengfei Yuan, Zhou Mengyuan, Lianxin Jiang, et al.2022 · 20 citations
7. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Yaqian Han, Yekun Chai, Shuohuan Wang, et al.2022 · 15 citations
8. CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicInternational Workshop on Semantic Evaluation (SemEval)Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.2022 · 11 citations
9. Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data AugmentationInternational Workshop on Semantic Evaluation (SemEval)Mosab Shaheen, Shubham Kumar Nigam2022 · 10 citations
10. YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and ArabicInternational Workshop on Semantic Evaluation (SemEval)Guangmin Zheng, Jin Wang, Xuejie Zhang2022 · 9 citations
11. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations
12. akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Abdulrahman Mohamed Kamr, Ensaf Mohamed2022 · 7 citations
13. MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence LearnersInternational Workshop on Semantic Evaluation (SemEval)Maryam Najafi, Ehsan Tavan2022 · 7 citations
14. LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Olha Kaminska, Chris Cornelis, Veronique Hoste2022 · 6 citations
15. NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep LearningInternational Workshop on Semantic Evaluation (SemEval)Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.2022 · 6 citations
16. IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in EnglishInternational Workshop on Semantic Evaluation (SemEval)Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore, et al.2022 · 6 citations
17. UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detectionInternational Workshop on Semantic Evaluation (SemEval)Emmanuel Osei-Brefo, Huizhi Liang2022 · 4 citations
18. GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type IdentificationInternational Workshop on Semantic Evaluation (SemEval)Diksha Krishnan, Jerin Mahibha C, Thenmozhi Durairaj2022 · 4 citations
19. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesInternational Workshop on Semantic Evaluation (SemEval)Aya Lotfy, Marwan Torki, Nagwa El-Makky2022 · 3 citations
20. I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning TechniquesInternational Workshop on Semantic Evaluation (SemEval)Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata, et al.2022 · 3 citations
21. SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic LanguagesInternational Workshop on Semantic Evaluation (SemEval)Malak Abdullah, Dalya Alnore, Safa Swedat, et al.2022 · 2 citations
22. High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic textsInternational Workshop on Semantic Evaluation (SemEval)Hamza Alami, Abdessamad Benlahbib, Ahmed Alami2022 · 2 citations
23. connotation_clashers at SemEval-2022 Task 6: The effect of sentiment analysis on sarcasm detectionInternational Workshop on Semantic Evaluation (SemEval)Patrick Hantsch, Nadav Chkroun2022 · 2 citations
24. Dartmouth at SemEval-2022 Task 6: Detection of SarcasmInternational Workshop on Semantic Evaluation (SemEval)Rishik Lad, Weicheng Ma, Soroush Vosoughi2022 · 2 citations
25. FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and ArabicInternational Workshop on Semantic Evaluation (SemEval)Tudor Manoleasa, Daniela Gifu, Iustin Sandu2022 · 2 citations
26. R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasmInternational Workshop on Semantic Evaluation (SemEval)Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B2022 · 2 citations
27. BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic TextsInternational Workshop on Semantic Evaluation (SemEval)Nsrin Ashraf, Fathy Elkazzaz, Mohamed Taha, et al.2022 · 1 citation
28. JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-gramsInternational Workshop on Semantic Evaluation (SemEval)Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch2022 · 1 citation
29. ISD at SemEval-2022 Task 6: Sarcasm Detection Using Lightweight ModelsInternational Workshop on Semantic Evaluation (SemEval)Samantha Huang, Ethan Chi, Nathan Chi2022
30. niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?International Workshop on Semantic Evaluation (SemEval)Nikhil Singh2022
31. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer ModelsInternational Workshop on Semantic Evaluation (SemEval)Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.2022

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