---
title: "SemEval 2022 — all accepted papers — the most cited first"
description: "All 233 papers of SemEval 2022 · page 1 of 3, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2022/papers/"
---
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# SemEval 2022: all accepted papers

233 papers · page 1 of 3 · the most cited first · [← SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/)

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1. **[SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/)**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi et al.*131 citations · our summary*
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/)**Shervin Malmasi, Anjie Fang, Besnik Fetahu et al.*104 citations · our summary*
3. **[SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson et al.*97 citations · our summary*
4. **[SemEval 2022 Task 10: Structured Sentiment Analysis ↗](https://aclanthology.org/2022.semeval-1.180/)**Jeremy Barnes, Laura Oberlaender, Enrica Troiano et al.*47 citations*
5. **[SemEval-2022 Task 4: Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.38/)**Carla Perez-Almendros, Luis Espinosa-Anke, Steven Schockaert*44 citations*
6. **[DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.200/)**Xinyu Wang, Yongliang Shen, Jiong Cai et al.*43 citations*
7. **[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/)**Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia et al.*34 citations · our summary*
8. **[SemEval-2022 Task 8: Multilingual news article similarity ↗](https://aclanthology.org/2022.semeval-1.155/)**Xi Chen, Ali Zeynali, Chico Camargo et al.*31 citations*
9. **[Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/)**Timothee Mickus, Kees Van Deemter, Mathieu Constant et al.*21 citations · our summary*
10. **[USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.223/)**Beiduo Chen, Jun-Yu Ma, Jiajun Qi et al.*21 citations*
11. **[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/)**Mengfei Yuan, Zhou Mengyuan, Lianxin Jiang et al.*15 citations · our summary*
12. **[SRCB at SemEval-2022 Task 5: Pretraining Based Image to Text Late Sequential Fusion System for Multimodal Misogynous Meme Identification ↗](https://aclanthology.org/2022.semeval-1.81/)**Jing Zhang, Yujin Wang*14 citations*
13. **[UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation ↗](https://aclanthology.org/2022.semeval-1.135/)**Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati et al.*14 citations*
14. **[SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions ↗](https://aclanthology.org/2022.semeval-1.230/)**Viet Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt et al.*13 citations*
15. **[MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection ↗](https://aclanthology.org/2022.semeval-1.96/)**Yimeng Gu, Ignacio Castro, Gareth Tyson*12 citations*
16. **[SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts ↗](https://aclanthology.org/2022.semeval-1.146/)**Michael Roth, Talita Anthonio, Anna Sauer*12 citations*
17. **[silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languages ↗](https://aclanthology.org/2022.semeval-1.211/)**Sumit Singh, Pawankumar Jawale, Uma Tiwary*11 citations*
18. **[ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification ↗](https://aclanthology.org/2022.semeval-1.82/)**Ailneni Rakshitha Rao, Arjun Rao*10 citations*
19. **[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/)**Mosab Shaheen, Shubham Kumar Nigam*10 citations · our summary*
20. **[RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism ↗](https://aclanthology.org/2022.semeval-1.215/)**Vasile Pais*10 citations*
21. **[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/)**Yaqian Han, Yekun Chai, Shuohuan Wang et al.*10 citations · our summary*
22. **[AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities ↗](https://aclanthology.org/2022.semeval-1.232/)**Nicholas Popovic, Walter Laurito, Michael Färber*9 citations*
23. **[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/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar et al.*9 citations · our summary*
24. **[MarSan at SemEval-2022 Task 11: Multilingual complex named entity recognition using T5 and transformer encoder ↗](https://aclanthology.org/2022.semeval-1.226/)**Ehsan Tavan, Maryam Najafi*9 citations*
25. **[DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification ↗](https://aclanthology.org/2022.semeval-1.77/)**Ziming Zhou, Han Zhao, Jingjing Dong et al.*8 citations*
26. **[Infrrd.ai at SemEval-2022 Task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and EnsembleCRF ↗](https://aclanthology.org/2022.semeval-1.206/)**Jianglong He, Akshay Uppal, Mamatha N et al.*8 citations*
27. **[NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model ↗](https://aclanthology.org/2022.semeval-1.220/)**Lung-Hao Lee, Chien-Huan Lu, Tzu-Mi Lin*8 citations*
28. **[SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato et al.*8 citations · our summary*
29. **[JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their Descriptions ↗](https://aclanthology.org/2022.semeval-1.231/)**Sung-Min Lee, Seung-Hoon Na*7 citations*
30. **[JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes ↗](https://aclanthology.org/2022.semeval-1.84/)**Jason Ravagli, Lorenzo Vaiani*7 citations*
31. **[MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities ↗](https://aclanthology.org/2022.semeval-1.90/)**Giuseppe Attanasio, Debora Nozza, Federico Bianchi*7 citations*
32. **[PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions ↗](https://aclanthology.org/2022.semeval-1.229/)**Long Ma, Xiaorong Jian, Xuan Li*7 citations*
33. **[TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes ↗](https://aclanthology.org/2022.semeval-1.105/)**Sherzod Hakimov, Gullal Singh Cheema, Ralph Ewerth*7 citations*
34. **[UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.199/)**Elisa Schneider, Renzo M. Rivera-Zavala, Paloma Martinez et al.*7 citations*
35. **[University of Hildesheim at SemEval-2022 task 5: Combining Deep Text and Image Models for Multimedia Misogyny Detection ↗](https://aclanthology.org/2022.semeval-1.98/)**Milan Kalkenings, Thomas Mandl*7 citations*
36. **[AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification ↗](https://aclanthology.org/2022.semeval-1.107/)**Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez et al.*6 citations*
37. **[CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data ↗](https://aclanthology.org/2022.semeval-1.214/)**Suman Dowlagar, Radhika Mamidi*6 citations*
38. **[HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity ↗](https://aclanthology.org/2022.semeval-1.157/)**Zihang Xu, Ziqing Yang, Yiming Cui et al.*6 citations*
39. **[I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes ↗](https://aclanthology.org/2022.semeval-1.94/)**Pablo Cordon, Pablo Gonzalez Diaz, Jacinto Mata et al.*6 citations*
40. **[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/)**Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore et al.*6 citations · our summary*
41. **[IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers ↗](https://aclanthology.org/2022.semeval-1.100/)**Gagan Sharma, Gajanan Sunil Gitte, Shlok Goyal et al.*6 citations*
42. **[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/)**Olha Kaminska, Chris Cornelis, Veronique Hoste*6 citations · our summary*
43. **[PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.43/)**Dou Hu, Zhou Mengyuan, Xiyang Du et al.*6 citations*
44. **[PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning ↗](https://aclanthology.org/2022.semeval-1.63/)**Manan Suri*6 citations*
45. **[QiNiAn at SemEval-2022 Task 5: Multi-Modal Misogyny Detection and Classification ↗](https://aclanthology.org/2022.semeval-1.102/)**Qin Gu, Nino Meisinger, Anna-Katharina Dick*6 citations*
46. **[RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle ↗](https://aclanthology.org/2022.semeval-1.87/)**Lei Chen, Hou Wei Chou*6 citations*
47. **[SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering ↗](https://aclanthology.org/2022.semeval-1.176/)**Jingxuan Tu, Eben Holderness, Marco Maru et al.*6 citations*
48. **[TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes ↗](https://aclanthology.org/2022.semeval-1.88/)**Paridhi Maheshwari, Sharmila Reddy Nangi*6 citations*
49. **[UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification ↗](https://aclanthology.org/2022.semeval-1.85/)**Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel*6 citations*
50. **[UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes ↗](https://aclanthology.org/2022.semeval-1.91/)**Arianna Muti, Katerina Korre, Alberto Barrón-Cedeño*6 citations*
51. **[daminglu123 at SemEval-2022 Task 2: Using BERT and LSTM to Do Text Classification ↗](https://aclanthology.org/2022.semeval-1.22/)**Daming Lu*6 citations*
52. **[HateU at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification ↗](https://aclanthology.org/2022.semeval-1.80/)**Ayme Arango, Jesus Perez-Martin, Arniel Labrada*5 citations*
53. **[IIT DHANBAD CODECHAMPS at SemEval-2022 Task 5: MAMI - Multimedia Automatic Misogyny Identification ↗](https://aclanthology.org/2022.semeval-1.101/)**Shubham Barnwal, Ritesh Kumar, Rajendra Pamula*5 citations*
54. **[IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations ↗](https://aclanthology.org/2022.semeval-1.5/)**Damir Korenčić, Ivan Grubisic*5 citations*
55. **[KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.210/)**Caleb Martin, Huichen Yang, William Hsu*5 citations*
56. **[ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language ↗](https://aclanthology.org/2022.semeval-1.64/)**Tosin Adewumi, Lama Alkhaled, Hamam Mokayed et al.*5 citations*
57. **[UMUTeam at SemEval-2022 Task 5: Combining image and textual embeddings for multi-modal automatic misogyny identification ↗](https://aclanthology.org/2022.semeval-1.103/)**José García-Díaz, Camilo Caparros-Laiz, Rafael Valencia-García*5 citations*
58. **[YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models ↗](https://aclanthology.org/2022.semeval-1.108/)**Mohammad Habash, Yahya Daqour, Malak Abdullah et al.*5 citations*
59. **[YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT ↗](https://aclanthology.org/2022.semeval-1.104/)**Chao Han, Jin Wang, Xuejie Zhang*5 citations*
60. **[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/)**Abdulrahman Mohamed Kamr, Ensaf Mohamed*5 citations · our summary*
61. **[AMEX AI Labs at SemEval-2022 Task 10: Contextualized fine-tuning of BERT for Structured Sentiment Analysis ↗](https://aclanthology.org/2022.semeval-1.181/)**Pratyush Sarangi, Shamika Ganesan, Piyush Arora et al.*4 citations*
62. **[BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.41/)**Yong Deng, Chenxiao Dou, Liangyu Chen et al.*4 citations*
63. **[BL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencoders ↗](https://aclanthology.org/2022.semeval-1.11/)**Nihed Bendahman, Julien Breton, Lina Nicolaieff et al.*4 citations*
64. **[BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling ↗](https://aclanthology.org/2022.semeval-1.3/)**Cunliang Kong, Yujie Wang, Ruining Chong et al.*4 citations*
65. **[CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification ↗](https://aclanthology.org/2022.semeval-1.221/)**Keyu Pu, Hongyi Liu, Yixiao Yang et al.*4 citations*
66. **[CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models ↗](https://aclanthology.org/2022.semeval-1.32/)**Abdul Aziz, Md. Akram Hossain, Abu Nowshed Chy*4 citations*
67. **[DH-FBK at SemEval-2022 Task 4: Leveraging Annotators' Disagreement and Multiple Data Views for Patronizing Language Detection ↗](https://aclanthology.org/2022.semeval-1.42/)**Alan Ramponi, Elisa Leonardelli*4 citations*
68. **[DataScience-Polimi at SemEval-2022 Task 8: Stacking Language Models to Predict News Article Similarity ↗](https://aclanthology.org/2022.semeval-1.174/)**Marco Di Giovanni, Thomas Tasca, Marco Brambilla*4 citations*
69. **[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/)**Diksha Krishnan, Jerin Mahibha C, Thenmozhi Durairaj*4 citations · our summary*
70. **[Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis ↗](https://aclanthology.org/2022.semeval-1.188/)**Gaku Morio, Hiroaki Ozaki, Atsuki Yamaguchi et al.*4 citations*
71. **[L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.225/)**Emanuela Boros, Carlos-Emiliano González-Gallardo, Jose Moreno et al.*4 citations*
72. **[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/)**Maryam Najafi, Ehsan Tavan*4 citations · our summary*
73. **[Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER ↗](https://aclanthology.org/2022.semeval-1.224/)**Amit Pandey, Swayatta Daw, Vikram Pudi*4 citations*
74. **[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/)**Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy et al.*4 citations · our summary*
75. **[PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion ↗](https://aclanthology.org/2022.semeval-1.76/)**Jin Zhi, Zhou Mengyuan, Mengfei Yuan et al.*4 citations*
76. **[Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task ↗](https://aclanthology.org/2022.semeval-1.228/)**Weichao Gan, Yuanping Lin, Guangbo Yu et al.*4 citations*
77. **[R2D2 at SemEval-2022 Task 5: Attention is only as good as its Values! A multimodal system for identifying misogynist memes ↗](https://aclanthology.org/2022.semeval-1.106/)**Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B*4 citations*
78. **[Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.65/)**Jinghua Xu*4 citations*
79. **[YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.61/)**Wenqiang Bai, Jin Wang, Xuejie Zhang*4 citations*
80. **[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/)**Guangmin Zheng, Jin Wang, Xuejie Zhang*4 citations · our summary*
81. **[AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification ↗](https://aclanthology.org/2022.semeval-1.97/)**Da Li, Ming Yi, Yukai He*3 citations*
82. **[Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling ↗](https://aclanthology.org/2022.semeval-1.115/)**Aparna K Ajayan, Krishna Mohanan, Anugraha S et al.*3 citations*
83. **[CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3 ↗](https://aclanthology.org/2022.semeval-1.69/)**Daniel Saeedi, Sirwe Saeedi, Aliakbar Panahi et al.*3 citations*
84. **[DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation ↗](https://aclanthology.org/2022.semeval-1.163/)**Joseph Hajjar, Weicheng Ma, Soroush Vosoughi*3 citations*
85. **[Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions ↗](https://aclanthology.org/2022.semeval-1.8/)**Pinzhen Chen, Zheng Zhao*3 citations*
86. **[Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes ↗](https://aclanthology.org/2022.semeval-1.109/)**Charic Farinango Cuervo, Natalie Parde*3 citations*
87. **[GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection ↗](https://aclanthology.org/2022.semeval-1.58/)**Junyu Lu, Hao Zhang, Tongyue Zhang et al.*3 citations*
88. **[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/)**Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata et al.*3 citations · our summary*
89. **[JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches ↗](https://aclanthology.org/2022.semeval-1.12/)**Thi Hong Hanh Tran, Matej Martinc, Matthew Purver et al.*3 citations*
90. **[LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition ↗](https://aclanthology.org/2022.semeval-1.197/)**Ngoc Lai*3 citations*
91. **[LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary ↗](https://aclanthology.org/2022.semeval-1.4/)**Bin Li, Yixuan Weng, Fei Xia et al.*3 citations*
92. **[LyS_ACoruña at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing ↗](https://aclanthology.org/2022.semeval-1.193/)**Iago Alonso-Alonso, David Vilares, Carlos Gómez-Rodríguez*3 citations*
93. **[MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective ↗](https://aclanthology.org/2022.semeval-1.7/)**Alfonso Ardoiz, Miguel Ortega-Martín, Óscar García-Sierra et al.*3 citations*
94. **[MT-Speech at SemEval-2022 Task 10: Incorporating Data Augmentation and Auxiliary Task with Cross-Lingual Pretrained Language Model for Structured Sentiment Analysis ↗](https://aclanthology.org/2022.semeval-1.185/)**Cong Chen, Jiansong Chen, Cao Liu et al.*3 citations*
95. **[MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets ↗](https://aclanthology.org/2022.semeval-1.233/)**Rob van der Goot*3 citations*
96. **[Mitra Behzadi at SemEval-2022 Task 5 : Multimedia Automatic Misogyny Identification method based on CLIP ↗](https://aclanthology.org/2022.semeval-1.99/)**Mitra Behzadi, Ali Derakhshan, Ian Harris*3 citations*
97. **[NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection ↗](https://aclanthology.org/2022.semeval-1.25/)**Simone Tedeschi, Roberto Navigli*3 citations*
98. **[OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge ↗](https://aclanthology.org/2022.semeval-1.204/)**Ze Chen, Kangxu Wang, Jiewen Zheng et al.*3 citations*
99. **[PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm ↗](https://aclanthology.org/2022.semeval-1.112/)**Xiyang Du, Dou Hu, Jin Zhi et al.*3 citations*
100. **[Poirot at SemEval-2022 Task 5: Leveraging Graph Network for Misogynistic Meme Detection ↗](https://aclanthology.org/2022.semeval-1.110/)**Harshvardhan Srivastava*3 citations*

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