SemEval 2020: all accepted papers
- SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) ↗Marcos Zampieri, Preslav Nakov, Sara Rosenthal et al.378 citations
- KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social MediaAli Safaya, Moutasem Abdullatif, Deniz Yuret294 citations · our summary
- SemEval-2020 Task 11: Detection of Propaganda Techniques in News ArticlesGiovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth et al. · 🏆 Best Task Honorable Mention200 citations · our summary
- SemEval-2020 Task 1: Unsupervised Lexical Semantic Change DetectionDominik Schlechtweg, Barbara McGillivray, Simon Hengchen et al.172 citations · our summary
- SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!Chhavi Sharma, Deepesh Bhageria, William Scott et al.169 citations · our summary
- SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed TweetsParth Patwa, Gustavo Aguilar, Sudipta Kar et al.150 citations · our summary
- SemEval-2020 Task 4: Commonsense Validation and ExplanationCunxiang Wang, Shuailong Liang, Yili Jin et al. · 🏆 Best Task Honorable Mention82 citations · our summary
- UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection ↗Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann73 citations
- SemEval-2020 Task 7: Assessing Humor in Edited News Headlines ↗Nabil Hossain, John Krumm, Michael Gamon et al. · 🏆 Best Task65 citations
- ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them ↗Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala et al. · 🏆 Best Paper44 citations
- Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models ↗Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang et al.38 citations
- IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes ↗Vishal Keswani, Sakshi Singh, Suryansh Agarwal et al.34 citations
- UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis ↗George-Alexandru Vlad, George-Eduard Zaharia, Dumitru-Clementin Cercel et al.30 citations
- Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection ↗Wenliang Dai, Tiezheng Yu, Zihan Liu et al.27 citations
- Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning ↗Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov26 citations
- SemEval-2020 Task 3: Graded Word Similarity in Context ↗Carlos Santos Armendariz, Matthew Purver, Senja Pollak et al.25 citations
- NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer ↗Hwijeen Ahn, Jimin Sun, Chan Young Park et al.24 citations
- ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media ↗Sabit Hassan, Younes Samih, Hamdy Mubarak et al.23 citations
- LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT's pretrain-finetune discrepancy for Arabic offensive language identification ↗Hamza Alami, Said Ouatik El Alaoui, Abdessamad Benlahbib et al.23 citations
- SemEval-2020 Task 5: Counterfactual Recognition ↗Xiaoyu Yang, Stephen Obadinma, Huasha Zhao et al.23 citations
- UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection ↗Ondřej Pražák, Pavel Přibáň, Stephen Taylor et al.23 citations
- Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection ↗Gaku Morio, Terufumi Morishita, Hiroaki Ozaki et al.22 citations
- SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media ↗Amirreza Shirani, Franck Dernoncourt, Nedim Lipka et al.20 citations
- Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection ↗Matej Martinc, Syrielle Montariol, Elaine Zosa et al.19 citations
- Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification ↗Jiaxiang Liu, Xuyi Chen, Shikun Feng et al.19 citations
- AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning ↗Mai Ibrahim, Marwan Torki, Nagwa El-Makky18 citations
- NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using an Ensemble Model ↗Subhra Jyoti Baroi, Nivedita Singh, Ringki Das et al.18 citations
- SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes ↗Lisa Bonheme, Marek Grzes · 🏆 Best Paper Honorable Mention18 citations
- SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus ↗Sasha Spala, Nicholas Miller, Franck Dernoncourt et al.18 citations
- BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media ↗Tharindu Ranasinghe, Hansi Hettiarachchi17 citations
- BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models ↗Martin Fajcik, Josef Jon, Martin Docekal et al.17 citations
- JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model ↗Ola Altiti, Malak Abdullah, Rasha Obiedat17 citations
- BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text ↗Ayush Kumar, Harsh Agarwal, Keshav Bansal et al.16 citations
- DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings ↗Christin Beck16 citations
- Guoym at SemEval-2020 Task 8: Ensemble-based Classification of Visuo-Lingual Metaphor in Memes ↗Yingmei Guo, Jinfa Huang, Yanlong Dong et al.16 citations
- LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT? ↗Marc Pàmies, Emily Öhman, Kaisla Kajava et al.16 citations
- SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets ↗Anil Ozdemir, Reyyan Yeniterzi16 citations
- CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations ↗Martin Pömsl, Roman Lyapin15 citations
- UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT ↗Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu15 citations
- CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts ↗David Rother, Thomas Haider, Steffen Eger14 citations
- Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning ↗Mayukh Sharma, Ilanthenral Kandasamy, W.B. Vasantha14 citations
- SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces ↗Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci et al.14 citations
- SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection ↗Fatemah Husain, Jooyeon Lee, Sam Henry et al.14 citations
- Team Rouges at SemEval-2020 Task 12: Cross-lingual Inductive Transfer to Detect Offensive Language ↗Tanvi Dadu, Kartikey Pant14 citations
- UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models ↗Mircea-Adrian Tanase, Dumitru-Clementin Cercel, Costin Chiru14 citations
- WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers ↗Ahmed Sultan, Mahmoud Salim, Amina Gaber et al.14 citations
- WMD at SemEval-2020 Tasks 7 and 11: Assessing Humor and Propaganda Using Unsupervised Data Augmentation ↗Guillaume Daval-Frerot, Yannick Weis14 citations
- BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity ↗Hansi Hettiarachchi, Tharindu Ranasinghe13 citations
- Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition ↗Terufumi Morishita, Gaku Morio, Shota Horiguchi et al.13 citations
- JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation ↗Ali Fadel, Mahmoud Al-Ayyoub, Erik Cambria13 citations
- KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT ↗Saja Tawalbeh, Mahmoud Hammad, Mohammad AL-Smadi13 citations
- NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis ↗Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga13 citations
- UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information ↗Wah Meng Lim, Harish Tayyar Madabushi13 citations
- WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets ↗Yasser Otiefy, Ahmed Abdelmalek, Islam El Hosary13 citations
- BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection ↗Nikolay Arefyev, Vasily Zhikov12 citations
- FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection ↗Camilla Casula, Alessio Palmero Aprosio, Stefano Menini et al.12 citations
- NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier ↗Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo et al.12 citations
- XLP at SemEval-2020 Task 9: Cross-lingual Models with Focal Loss for Sentiment Analysis of Code-Mixing Language ↗Yili Ma, Liang Zhao, Jie Hao12 citations
- BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning ↗Rajaswa Patil, Somesh Singh, Swati Agarwal11 citations
- CS-NLP Team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task ↗Sirwe Saeedi, Aliakbar Panahi, Seyran Saeedi et al.11 citations
- HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection ↗Xiao Ding, Dingkui Hao, Yuewei Zhang et al.11 citations
- LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification ↗Erfan Ghadery, Marie-Francine Moens11 citations
- MSR India at SemEval-2020 Task 9: Multilingual Models Can Do Code-Mixing Too ↗Anirudh Srinivasan11 citations
- PGSG at SemEval-2020 Task 12: BERT-LSTM with Tweets' Pretrained Model and Noisy Student Training Method ↗Bao-Tran Pham-Hong, Setu Chokshi11 citations
- TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa ↗Pedro Alonso, Rajkumar Saini, György Kovacs11 citations
- UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts Using Transformers and Multi-Task Learning ↗George-Eduard Zaharia, George-Alexandru Vlad, Dumitru-Clementin Cercel et al.11 citations
- YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles ↗Jiaxu Dao, Jin Wang, Xuejie Zhang11 citations
- 3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles ↗Dimas Sony Dewantara, Indra Budi, Muhammad Okky Ibrohim10 citations
- EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes ↗Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze10 citations
- GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection ↗Sajad Sotudeh, Tong Xiang, Hao-Ren Yao et al.10 citations
- IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection ↗Jens Kaiser, Dominik Schlechtweg, Sean Papay et al.10 citations
- IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets ↗Apurva Parikh, Abhimanyu Singh Bisht, Prasenjit Majumder10 citations
- LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis ↗Somnath Banerjee, Sahar Ghannay, Sophie Rosset et al.10 citations
- MemoSYS at SemEval-2020 Task 8: Multimodal Emotion Analysis in Memes ↗Irina Bejan10 citations
- TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings ↗Rajalakshmi Sivanaiah, Angel Deborah S, S Milton Rajendram et al.10 citations
- TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings ↗Anna Karnysheva, Pia Schwarz10 citations
- UAIC1860 at SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles ↗Vlad Ermurachi, Daniela Gifu10 citations
- BERT at SemEval-2020 Task 8: Using BERT to Analyse Meme Emotions ↗Adithya Avvaru, Sanath Vobilisetty9 citations
- DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis ↗Pradyumna Gupta, Himanshu Gupta, Aman Sinha9 citations
- ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model ↗Zhengjie Huang, Shikun Feng, Weiyue Su et al.9 citations
- Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity ↗Weilong Chen, Xin Yuan, Sai Zhang et al.9 citations
- IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection ↗Vivek Srivastava, Mayank Singh9 citations
- IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals ↗Anirudh Anil Ojha, Rohin Garg, Shashank Gupta et al.9 citations
- JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation ↗Avishek Garain, Sainik Mahata, Dipankar Das9 citations
- LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis ↗Pranaydeep Singh, Nina Bauwelinck, Els Lefever9 citations
- PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis ↗Gretel Liz De la Peña Sarracén, Paolo Rosso, Anastasia Giachanou9 citations
- Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis ↗Vinay Gopalan, Mark Hopkins9 citations
- SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection ↗Amaru Cuba Gyllensten, Evangelia Gogoulou, Ariel Ekgren et al.9 citations
- BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles ↗Yang Bai, Xiaobing Zhou8 citations
- HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts ↗Aditya Srivastava, V. Harsha Vardhan8 citations
- HinglishNLP at SemEval-2020 Task 9: Fine-tuned Language Models for Hinglish Sentiment Detection ↗Meghana Bhange, Nirant Kasliwal8 citations
- Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels Using Statistical Sampling and Post-Processing ↗Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi et al.8 citations
- IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines ↗Soroush Javdan, Taha Shangipour ataei, Behrouz Minaei-Bidgoli8 citations
- LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits Based Humor Grading ↗Siddhant Mahurkar, Rajaswa Patil8 citations
- LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification ↗Sopan Khosla, Rishabh Joshi, Ritam Dutt et al.8 citations
- SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ↗Goran Glavaš, Ivan Vulić, Anna Korhonen et al.8 citations
- SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features ↗Gangeshwar Krishnamurthy, Raj Kumar Gupta, Yinping Yang8 citations
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