SemEval 2022: all accepted papers
- RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs ↗Wentao Yu, Benedikt Boenninghoff, Jonas Röhrig et al.3 citations
- SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking ↗Buse Çarık, Fatih Beyhan, Reyyan Yeniterzi3 citations
- SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task ↗Fadi Hassan, Wondimagegnhue Tufa, Guillem Collell et al.3 citations
- TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection ↗Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh3 citations
- TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models ↗Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R et al.3 citations
- Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection ↗Shankar Mahadevan, Sean Benhur, Roshan Nayak et al.3 citations
- Wolfies at SemEval-2022 Task 8: Feature extraction pipeline with transformers for Multi-lingual news article similarity ↗Nikhil Goel, Ranjith Reddy Bommidi3 citations
- WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices ↗Dirk Wangsadirdja, Felix Heinickel, Simon Trapp et al.3 citations
- YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning ↗Kuanghong Liu, Jin Wang, Xuejie Zhang3 citations
- drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM ↗Dylan Phelps3 citations
- 1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task ↗Zhiyong Wang, Ge Zhang, Nineli Lashkarashvili2 citations
- AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER ↗Aapo Pietiläinen, Shaoxiong Ji2 citations
- AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesAya Lotfy, Marwan Torki, Nagwa El-Makky2 citations · our summary
- CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities ↗Jia Fu, Zhen Gan, Zhucong Li et al.2 citations
- CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach ↗Abdul Aziz, Md. Akram Hossain, Abu Nowshed Chy2 citations
- CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection ↗Joanne Boisson, Jose Camacho-Collados, Luis Espinosa-Anke2 citations
- DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition ↗Dang Nguyen, Huy Khac Nguyen Huynh2 citations
- DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models ↗Hossein Rouhizadeh, Douglas Teodoro2 citations
- Dartmouth at SemEval-2022 Task 6: Detection of SarcasmRishik Lad, Weicheng Ma, Soroush Vosoughi2 citations · our summary
- EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity ↗Elaine Zosa, Emanuela Boros, Boshko Koloski et al.2 citations
- FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and ArabicTudor Manoleasa, Daniela Gifu, Iustin Sandu2 citations · our summary
- GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity ↗Iknoor Singh, Yue Li, Melissa Thong et al.2 citations
- IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes ↗Tathagata Raha, Sagar Joshi, Vasudeva Varma2 citations
- LastResort at SemEval-2022 Task 4: Towards Patronizing and Condescending Language Detection using Pre-trained Transformer Based Models Ensembles ↗Samyak Agrawal, Radhika Mamidi2 citations
- LastResort at SemEval-2022 Task 5: Towards Misogyny Identification using Visual Linguistic Model Ensembles And Task-Specific Pretraining ↗Samyak Agrawal, Radhika Mamidi2 citations
- LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer ↗Fei Xia, Bin Li, Yixuan Weng et al.2 citations
- McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNet ↗Marco Siino, Marco Cascia, Ilenia Tinnirello2 citations
- Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages ↗Amit Pandey, Swayatta Daw, Narendra Unnam et al.2 citations
- PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection ↗Ye Wang, Yanmeng Wang, Baishun Ling et al.2 citations
- R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasmMayukh Sharma, Ilanthenral Kandasamy, Vasantha W B2 citations · our summary
- SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models ↗Changyu Hou, Jun Wang, Yixuan Qiao et al.2 citations
- TCU at SemEval-2022 Task 8: A Stacking Ensemble Transformer Model for Multilingual News Article Similarity ↗Xiang Luo, Yanqing Niu, Boer Zhu2 citations
- TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations ↗Aditya Srivastava, Harsha Vardhan Vemulapati2 citations
- Tesla at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Transformer-based Models with Data Augmentation ↗Sahil Bhatt, Manish Shrivastava2 citations
- UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition ↗Hyunju Song, Steven Bethard2 citations
- UAEM-ITAM at SemEval-2022 Task 5: Vision-Language Approach to Recognize Misogynous Content in Memes ↗Edgar Roman-Rangel, Jorge Fuentes-Pacheco, Jorge Hermosillo Valadez2 citations
- UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection ↗Bradley Hauer, Seeratpal Jaura, Talgat Omarov et al.2 citations
- UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer ↗Abdellah El Mekki, Abdelkader El Mahdaouy, Mohammed Akallouch et al.2 citations
- UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detectionEmmanuel Osei-Brefo, Huizhi Liang2 citations · our summary
- Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary? ↗Rafal Cerniavski, Sara Stymne2 citations
- X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications ↗Junyuan Shang, Shuohuan Wang, Yu Sun et al.2 citations
- YNU-HPCC at SemEval-2022 Task 8: Transformer-based Ensemble Model for Multilingual News Article Similarity ↗Zihan Nai, Jin Wang, Xuejie Zhang2 citations
- ZhichunRoad at SemEval-2022 Task 2: Adversarial Training and Contrastive Learning for Multiword Representations ↗Xuange Cui, Wei Xiong, Songlin Wang2 citations
- connotation_clashers at SemEval-2022 Task 6: The effect of sentiment analysis on sarcasm detectionPatrick Hantsch, Nadav Chkroun2 citations · our summary
- taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning ↗Chen Tao, Jung-jae Kim2 citations
- ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection ↗Ailneni Rakshitha Rao1 citation
- AliEdalat at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Fine-tuned Language Models, BERT+BiGRU, and Ensemble Models ↗Ali Edalat, Yadollah Yaghoobzadeh, Behnam Bahrak1 citation
- BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic TextsNsrin Ashraf, Fathy Elkazzaz, Mohamed Taha et al.1 citation · our summary
- Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework ↗Ahmed Mahran, Carlo Alessandro Borella, Konstantinos Perifanos1 citation
- DUCS at SemEval-2022 Task 6: Exploring Emojis and Sentiments for Sarcasm Detection ↗Vandita Grover, Prof Hema Banati1 citation
- ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach ↗Raghav R, Adarsh Vemali, Rajdeep Mukherjee1 citation
- HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection ↗Zheng Chu, Ziqing Yang, Yiming Cui et al.1 citation
- HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA) ↗Weihe Zhai, Mingqiang Feng, Arkaitz Zubiaga et al.1 citation
- HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis ↗Yihui Li, Yifan Yang, Yice Zhang et al.1 citation
- HW-TSC at SemEval-2022 Task 3: A Unified Approach Fine-tuned on Multilingual Pretrained Model for PreTENS ↗Yinglu Li, Min Zhang, Xiaosong Qiao et al.1 citation
- HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization ↗Youngju Joung, Taeuk Kim1 citation
- Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection ↗Sami Itkonen, Jörg Tiedemann, Mathias Creutz1 citation
- High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic textsHamza Alami, Abdessamad Benlahbib, Ahmed Alami1 citation · our summary
- Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection ↗Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki et al.1 citation
- HuaAMS at SemEval-2022 Task 8: Combining Translation and Domain Pre-training for Cross-lingual News Article Similarity ↗Sai Sandeep Sharma Chittilla, Talaat Khalil1 citation
- I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning ↗Pablo Gonzalez Diaz, Pablo Cordon, Jacinto Mata et al.1 citation
- IIIT-MLNS at SemEval-2022 Task 8: Siamese Architecture for Modeling Multilingual News Similarity ↗Sagar Joshi, Dhaval Taunk, Vasudeva Varma1 citation
- INF-UFRGS at SemEval-2022 Task 5: analyzing the performance of multimodal models ↗Gustavo A. Lorentz, Viviane P. Moreira1 citation
- ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis ↗Xinyu Lu, Mengjie Ren, Yaojie Lu et al.1 citation
- ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity ↗Zhongan Chen, Weiwei Chen, YunLong Sun et al.1 citation
- JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning ↗Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak et al.1 citation
- JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-gramsYaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch1 citation · our summary
- KaMiKla at SemEval-2022 Task 3: AlBERTo, BERT, and CamemBERT–-Be(r)tween Taxonomy Detection and Prediction ↗Karl Vetter, Miriam Segiet, Klara Lennermann1 citation
- LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets ↗Abdessamad Benlahbib, Hamza Alami, Ahmed Alami1 citation
- NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition ↗Amina Miftahova, Alexander Pugachev, Artem Skiba et al.1 citation
- Nikkei at SemEval-2022 Task 8: Exploring BERT-based Bi-Encoder Approach for Pairwise Multilingual News Article Similarity ↗Shotaro Ishihara, Hono Shirai1 citation
- Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression ↗Mohammadmahdi Nouriborji, Omid Rohanian, David Clifton1 citation
- OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection ↗Lis Pereira, Ichiro Kobayashi1 citation
- OversampledML at SemEval-2022 Task 8: When multilingual news similarity met Zero-shot approaches ↗Mayank Jobanputra, Lorena Martín Rodríguez1 citation
- RIGA at SemEval-2022 Task 1: Scaling Recurrent Neural Networks for CODWOE Dictionary Modeling ↗Eduards Mukans, Gus Strazds, Guntis Barzdins1 citation
- RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations ↗Frank van den Berg, Gijs Danoe, Esther Ploeger et al.1 citation
- Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition ↗Atharvan Dogra, Prabsimran Kaur, Guneet Kohli et al.1 citation
- SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model ↗Yue Zhou, Bowei Wei, Jianyu Liu et al.1 citation
- Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles ↗Tomasz Dryjański, Monika Zaleska, Bartek Kuźma et al.1 citation
- SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic LanguagesMalak Abdullah, Dalya Alnore, Safa Swedat et al.1 citation · our summary
- TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla ↗Nazia Tasnim, Md. Istiak Shihab, Asif Shahriyar Sushmit et al.1 citation
- Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity ↗Nidhir Bhavsar, Rishikesh Devanathan, Aakash Bhatnagar et al.1 citation
- Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models ↗Kushagri Tandon, Niladri Chatterjee1 citation
- UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model ↗Lucas Rafael Costella Pessutto, Viviane P. Moreira1 citation
- ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection ↗Matej Klemen, Marko Robnik-Šikonja1 citation
- UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks ↗Xingmeng Zhao, Anthony Rios1 citation
- UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation ↗Injy Sarhan, Pablo Mosteiro, Marco Spruit1 citation
- UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations ↗Thanet Markchom, Huizhi Liang, Jiaoyan Chen1 citation
- ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing ↗Yangkun Lin, Chen Liang, Jing Xu et al.1 citation
- Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language ↗Bichu George, Adarsh S, Nishitkumar Prajapati et al.
- BL.Research at SemEval-2022 Task 8: Using various Semantic Information to evaluate document-level Semantic Textual Similarity ↗Sebastien Dufour, Mohamed Mehdi Kandi, Karim Boutamine et al.
- DuluthNLP at SemEval-2022 Task 7: Classifying Plausible Alternatives with Pre–trained ELECTRA ↗Samuel Akrah, Ted Pedersen
- ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis ↗Qi Zhang, Jie Zhou, Qin Chen et al.
- Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection ↗Felix Herrmann, Julia Krebs
- HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection ↗Zihang Liu, Yancheng He, Feiqing Zhuang et al.
- HW-TSC at SemEval-2022 Task 7: Ensemble Model Based on Pretrained Models for Identifying Plausible Clarifications ↗Xiaosong Qiao, Yinglu Li, Min Zhang et al.
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