---
title: "SemEval 2022 — all papers: 31 in our library, the most cited first"
description: "31 works of SemEval 2022 in our library, the most cited first. Among them: SemEval-2022 Task 5: Multimedia Automatic Misogyny…"
canonical: "https://research.elamur.ai/free/en/venues/semeval/2022/works/"
---
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# SemEval 2022: all papers in our library

31 works · the most cited first · [← SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/)

1. **[SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.*2022 · 234 citations*
2. **[SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 190 citations*
3. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
4. **[SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding](https://md.research.elamur.ai/free/en/papers/madabushi-2022-semeval-2022-task-2-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al.*2022 · 108 citations*
5. **[Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.*2022 · 59 citations*
6. **[stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/yuan-2022-stce-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Augmentation](https://md.research.elamur.ai/free/en/papers/shaheen-2022-plumeria-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mosab Shaheen, Shubham Kumar Nigam*2022 · 10 citations*
10. **[YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/zheng-2022-ynu-hpcc-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Guangmin Zheng, Jin Wang, Xuejie Zhang*2022 · 9 citations*
11. [**SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)
12. **[akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kamr-2022-akabert-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdulrahman Mohamed Kamr, Ensaf Mohamed*2022 · 7 citations*
13. **[MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners](https://md.research.elamur.ai/free/en/papers/najafi-2022-marsan-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Maryam Najafi, Ehsan Tavan*2022 · 7 citations*
14. **[LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kaminska-2022-lt3-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Olha Kaminska, Chris Cornelis, Veronique Hoste*2022 · 6 citations*
15. **[NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://md.research.elamur.ai/free/en/papers/rahgouy-2022-null-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 English](https://md.research.elamur.ai/free/en/papers/shekhawat-2022-iiserb-brains-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 detection](https://md.research.elamur.ai/free/en/papers/brefo-2022-uor-ncl-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Emmanuel Osei-Brefo, Huizhi Liang*2022 · 4 citations*
18. **[GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification](https://md.research.elamur.ai/free/en/papers/krishnan-2022-getsmartmsec-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Diksha Krishnan, Jerin Mahibha C, Thenmozhi Durairaj*2022 · 4 citations*
19. **[AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/lotfy-2022-alexu-al-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aya Lotfy, Marwan Torki, Nagwa El-Makky*2022 · 3 citations*
20. **[I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/monterde-2022-i2c-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Languages](https://md.research.elamur.ai/free/en/papers/abdullah-2022-sarcasmdet-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 texts](https://md.research.elamur.ai/free/en/papers/alami-2022-high-tech-team-semeval-2022/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hamza Alami, Abdessamad Benlahbib, Ahmed Alami*2022 · 2 citations*
23. **[connotation_clashers at SemEval-2022 Task 6: The effect of sentiment analysis on sarcasm detection](https://md.research.elamur.ai/free/en/papers/hantsch-2022-connotation-clashers-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Patrick Hantsch, Nadav Chkroun*2022 · 2 citations*
24. **[Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm](https://md.research.elamur.ai/free/en/papers/lad-2022-dartmouth-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rishik Lad, Weicheng Ma, Soroush Vosoughi*2022 · 2 citations*
25. **[FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/manoleasa-2022-fii-uaic-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tudor Manoleasa, Daniela Gifu, Iustin Sandu*2022 · 2 citations*
26. **[R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://md.research.elamur.ai/free/en/papers/sharma-2022-r2d2-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B*2022 · 2 citations*
27. **[BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts](https://md.research.elamur.ai/free/en/papers/ashraf-2022-bfcai-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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-grams](https://md.research.elamur.ai/free/en/papers/kerner-2022-jct-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch*2022 · 1 citation*
29. **[ISD at SemEval-2022 Task 6: Sarcasm Detection Using Lightweight Models](https://md.research.elamur.ai/free/en/papers/huang-2022-isd-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samantha Huang, Ethan Chi, Nathan Chi*2022*
30. **[niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nikhil Singh*2022*
31. **[TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://md.research.elamur.ai/free/en/papers/sivanaiah-2022-techssn-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.*2022*
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