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SemEval 2022: all accepted papers

233 papers · page 1 of 3 · the most cited first · ← SemEval 2022

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  1. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationElisabetta Fersini, Francesca Gasparini, Giulia Rizzi et al.131 citations · our summary
  2. SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)Shervin Malmasi, Anjie Fang, Besnik Fetahu et al.104 citations · our summary
  3. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson et al.97 citations · our summary
  4. SemEval 2022 Task 10: Structured Sentiment AnalysisJeremy Barnes, Laura Oberlaender, Enrica Troiano et al.47 citations
  5. SemEval-2022 Task 4: Patronizing and Condescending Language DetectionCarla Perez-Almendros, Luis Espinosa-Anke, Steven Schockaert44 citations
  6. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity RecognitionXinyu Wang, Yongliang Shen, Jiong Cai et al.43 citations
  7. SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence EmbeddingHarish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia et al.34 citations · our summary
  8. SemEval-2022 Task 8: Multilingual news article similarityXi Chen, Ali Zeynali, Chico Camargo et al.31 citations
  9. Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word EmbeddingsTimothee 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 RecognitionBeiduo Chen, Jun-Yu Ma, Jiajun Qi et al.21 citations
  11. stce at SemEval-2022 Task 6: Sarcasm Detection in English TweetsMengfei 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 IdentificationJing Zhang, Yujin Wang14 citations
  13. UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data AugmentationAmirhossein Abaskohi, Arash Rasouli, Tanin Zeraati et al.14 citations
  14. SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their DescriptionsViet 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 DetectionYimeng Gu, Ignacio Castro, Gareth Tyson12 citations
  16. SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional TextsMichael Roth, Talita Anthonio, Anna Sauer12 citations
  17. silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languagesSumit Singh, Pawankumar Jawale, Uma Tiwary11 citations
  18. ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme ClassificationAilneni Rakshitha Rao, Arjun Rao10 citations
  19. Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data AugmentationMosab Shaheen, Shubham Kumar Nigam10 citations · our summary
  20. RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanismVasile Pais10 citations
  21. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm DetectionYaqian 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 EntitiesNicholas Popovic, Walter Laurito, Michael Färber9 citations
  23. CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicAbdelkader 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 encoderEhsan Tavan, Maryam Najafi9 citations
  25. DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and ClassificationZiming 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 EnsembleCRFJianglong 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 ModelLung-Hao Lee, Chien-Huan Lu, Tzu-Mi Lin8 citations
  28. SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto 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 DescriptionsSung-Min Lee, Seung-Hoon Na7 citations
  30. JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in MemesJason Ravagli, Lorenzo Vaiani7 citations
  31. MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image ModalitiesGiuseppe Attanasio, Debora Nozza, Federico Bianchi7 citations
  32. PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss FunctionsLong Ma, Xiaorong Jian, Xuan Li7 citations
  33. TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous MemesSherzod Hakimov, Gullal Singh Cheema, Ralph Ewerth7 citations
  34. UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity RecognitionElisa 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 DetectionMilan Kalkenings, Thomas Mandl7 citations
  36. AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny IdentificationÁlvaro 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 dataSuman Dowlagar, Radhika Mamidi6 citations
  38. HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News SimilarityZihang Xu, Ziqing Yang, Yiming Cui et al.6 citations
  39. I2C at SemEval-2022 Task 5: Identification of misogyny in internet memesPablo 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 EnglishTanuj Shekhawat, Manoj Kumar, Udaybhan Rathore et al.6 citations · our summary
  41. IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using TransformersGagan Sharma, Gajanan Sunil Gitte, Shlok Goyal et al.6 citations
  42. LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm DetectionOlha Kaminska, Chris Cornelis, Veronique Hoste6 citations · our summary
  43. PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language DetectionDou 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 LearningManan Suri6 citations
  45. QiNiAn at SemEval-2022 Task 5: Multi-Modal Misogyny Detection and ClassificationQin Gu, Nino Meisinger, Anna-Katharina Dick6 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 PrincipleLei Chen, Hou Wei Chou6 citations
  47. SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question AnsweringJingxuan Tu, Eben Holderness, Marco Maru et al.6 citations
  48. TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal MemesParidhi Maheshwari, Sharmila Reddy Nangi6 citations
  49. UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny IdentificationAndrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel6 citations
  50. UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in MemesArianna Muti, Katerina Korre, Alberto Barrón-Cedeño6 citations
  51. daminglu123 at SemEval-2022 Task 2: Using BERT and LSTM to Do Text ClassificationDaming Lu6 citations
  52. HateU at SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationAyme Arango, Jesus Perez-Martin, Arniel Labrada5 citations
  53. IIT DHANBAD CODECHAMPS at SemEval-2022 Task 5: MAMI - Multimedia Automatic Misogyny IdentificationShubham Barnwal, Ritesh Kumar, Rajendra Pamula5 citations
  54. IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic RepresentationsDamir Korenčić, Ivan Grubisic5 citations
  55. KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity RecognitionCaleb Martin, Huichen Yang, William Hsu5 citations
  56. ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending LanguageTosin 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 identificationJosé García-Díaz, Camilo Caparros-Laiz, Rafael Valencia-García5 citations
  58. YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained ModelsMohammad 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 LXMERTChao Han, Jin Wang, Xuejie Zhang5 citations
  60. akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm DetectionAbdulrahman Mohamed Kamr, Ensaf Mohamed5 citations · our summary
  61. AMEX AI Labs at SemEval-2022 Task 10: Contextualized fine-tuning of BERT for Structured Sentiment AnalysisPratyush 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 DetectionYong 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 autoencodersNihed Bendahman, Julien Breton, Lina Nicolaieff et al.4 citations
  64. BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition ModelingCunliang 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 ClassificationKeyu 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 ModelsAbdul Aziz, Md. Akram Hossain, Abu Nowshed Chy4 citations
  67. DH-FBK at SemEval-2022 Task 4: Leveraging Annotators' Disagreement and Multiple Data Views for Patronizing Language DetectionAlan Ramponi, Elisa Leonardelli4 citations
  68. DataScience-Polimi at SemEval-2022 Task 8: Stacking Language Models to Predict News Article SimilarityMarco Di Giovanni, Thomas Tasca, Marco Brambilla4 citations
  69. GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type IdentificationDiksha Krishnan, Jerin Mahibha C, Thenmozhi Durairaj4 citations · our summary
  70. Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment AnalysisGaku Morio, Hiroaki Ozaki, Atsuki Yamaguchi et al.4 citations
  71. L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity RecognitionEmanuela Boros, Carlos-Emiliano González-Gallardo, Jose Moreno et al.4 citations
  72. MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence LearnersMaryam Najafi, Ehsan Tavan4 citations · our summary
  73. Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NERAmit Pandey, Swayatta Daw, Vikram Pudi4 citations
  74. NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep LearningMostafa 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 FusionJin Zhi, Zhou Mengyuan, Mengfei Yuan et al.4 citations
  76. Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER TaskWeichao 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 memesMayukh Sharma, Ilanthenral Kandasamy, Vasantha W B4 citations
  78. Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language DetectionJinghua Xu4 citations
  79. YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language DetectionWenqiang Bai, Jin Wang, Xuejie Zhang4 citations
  80. YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and ArabicGuangmin Zheng, Jin Wang, Xuejie Zhang4 citations · our summary
  81. AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny IdentificationDa Li, Ming Yi, Yukai He3 citations
  82. Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using OversamplingAparna 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 GPT3Daniel 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 TranslationJoseph Hajjar, Weicheng Ma, Soroush Vosoughi3 citations
  85. Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and DefinitionsPinzhen Chen, Zheng Zhao3 citations
  86. Exploring Contrastive Learning for Multimodal Detection of Misogynistic MemesCharic Farinango Cuervo, Natalie Parde3 citations
  87. GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language DetectionJunyu Lu, Hao Zhang, Tongyue Zhang et al.3 citations
  88. I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning TechniquesAdrián 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 approachesThi 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 RecognitionNgoc Lai3 citations
  91. LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse DictionaryBin 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 ParsingIago Alonso-Alonso, David Vilares, Carlos Gómez-Rodríguez3 citations
  93. MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspectiveAlfonso 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 AnalysisCong 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 DatasetsRob van der Goot3 citations
  96. Mitra Behzadi at SemEval-2022 Task 5 : Multimedia Automatic Misogyny Identification method based on CLIPMitra Behzadi, Ali Derakhshan, Ian Harris3 citations
  97. NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity DetectionSimone Tedeschi, Roberto Navigli3 citations
  98. OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledgeZe 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 SarcasmXiyang Du, Dou Hu, Jin Zhi et al.3 citations
  100. Poirot at SemEval-2022 Task 5: Leveraging Graph Network for Misogynistic Meme DetectionHarshvardhan Srivastava3 citations

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