SemEval 2021: all accepted papers
- SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and ImagesDimitar Dimitrov, Bishr Bin Ali, Shaden Shaar et al.88 citations · our summary
- SemEval-2021 Task 5: Toxic Spans DetectionJohn Pavlopoulos, Jeffrey Sorensen, Léo Laugier et al.80 citations · our summary
- SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and OffenseJ. A. Meaney, Steven Wilson, Luis Chiruzzo et al.75 citations · our summary
- SemEval-2021 Task 1: Lexical Complexity PredictionMatthew Shardlow, Richard Evans, Gustavo Henrique Paetzold et al.59 citations · our summary
- SemEval-2021 Task 12: Learning with Disagreements ↗Alexandra Uma, Tommaso Fornaciari, Anca Dumitrache et al.39 citations
- SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ↗Federico Martelli, Najla Kalach, Gabriele Tola et al.39 citations
- SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS) ↗Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsky et al.36 citations
- SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph ↗Jennifer D'Souza, Sören Auer, Ted Pedersen29 citations
- SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts ↗Corey Harper, Jessica Cox, Curt Kohler et al.27 citations
- JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models ↗Tuqa Bani Yaseen, Qusai Ismail, Sarah Al-Omari et al.19 citations
- MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion ↗Junfeng Tian, Min Gui, Chenliang Li et al.19 citations
- HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection ↗Qinglin Zhu, Zijie Lin, Yice Zhang et al.17 citations
- SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model ↗Dalya Faraj, Malak Abdullah15 citations
- WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans ↗Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri et al.14 citations
- SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning ↗Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan et al.13 citations
- Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble ↗Kshitij Gupta, Devansh Gautam, Radhika Mamidi13 citations
- Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification ↗Zhida Feng, Jiji Tang, Jiaxiang Liu et al.12 citations
- NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques ↗Gunjan Chhablani, Abheesht Sharma, Harshit Pandey et al.12 citations
- UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions ↗Haoyang Liu, M. Janina Sarol, Halil Kilicoglu12 citations
- CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse ↗Jiarun Cao, Yuejia Xiang, Yunyan Zhang et al.11 citations
- AStarTwice at SemEval-2021 Task 5: Toxic Span Detection Using RoBERTa-CRF, Domain Specific Pre-Training and Self-Training ↗Thakur Ashutosh Suman, Abhinav Jain10 citations
- Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction ↗Alejandro Mosquera10 citations
- DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach ↗Chunguang Pan, Bingyan Song, Shengguang Wang et al.10 citations
- LIORI at SemEval-2021 Task 8: Ask Transformer for measurements ↗Adis Davletov, Denis Gordeev, Nikolay Arefyev et al.10 citations
- LeCun at SemEval-2021 Task 6: Detecting Persuasion Techniques in Text Using Ensembled Pretrained Transformers and Data Augmentation ↗Dia Abujaber, Ahmed Qarqaz, Malak A. Abdullah10 citations
- Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data ↗Akash Gangwar, Sabhay Jain, Shubham Sourav et al.9 citations
- LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction ↗Abhinandan Tejalkumar Desai, Kai North, Marcos Zampieri et al.9 citations
- PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation ↗Shuyi Xie, Jian Ma, Haiqin Yang et al.9 citations
- SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing ↗Egoitz Laparra, Xin Su, Yiyun Zhao et al.9 citations
- TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training ↗Thomas Müller, Julian Eisenschlos, Syrine Krichene9 citations
- TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation ↗Hansi Hettiarachchi, Tharindu Ranasinghe9 citations
- UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification ↗Son T. Luu, Ngan Nguyen9 citations
- AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models ↗Nicola Messina, Fabrizio Falchi, Claudio Gennaro et al.8 citations
- GoldenWind at SemEval-2021 Task 5: Orthrus - An Ensemble Approach to Identify Toxicity ↗Marco Palomino, Dawid Grad, James Bedwell8 citations
- HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training ↗Huiyang Ding, David Jurgens8 citations
- IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection ↗Archit Bansal, Abhay Kaushik, Ashutosh Modi8 citations
- LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation ↗Moustafa Al-Hajj, Mustafa Jarrar8 citations
- CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense ↗Kabil Essefar, Abdellah El Mekki, Abdelkader El Mahdaouy et al.7 citations
- LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation ↗Adis Davletov, Nikolay Arefyev, Denis Gordeev et al.7 citations
- S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging ↗Viet Anh Nguyen, Tam Minh Nguyen, Huy Quang Dao et al.7 citations
- UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches ↗Phu Gia Hoang, Luan Thanh Nguyen, Kiet Nguyen7 citations
- UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction ↗George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu7 citations
- 1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models ↗Peiguang Li, Xuan Li, Xian Sun6 citations
- Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments ↗Sreyan Ghosh, Sonal Kumar6 citations
- DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods ↗Bingyan Song, Chunguang Pan, Shengguang Wang et al.6 citations
- ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline ↗Jiaju Lin, Jing Ling, Zhiwei Wang et al.6 citations
- GHOST at SemEval-2021 Task 5: Is explanation all you need? ↗Kamil Pluciński, Hanna Klimczak6 citations
- KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research ↗Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi6 citations
- LT3 at SemEval-2021 Task 6: Using Multi-Modal Compact Bilinear Pooling to Combine Visual and Textual Understanding in Memes ↗Pranaydeep Singh, Els Lefever6 citations
- Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic ↗Yakoob Khan, Weicheng Ma, Soroush Vosoughi6 citations
- NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans ↗Jonathan Rusert6 citations
- OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction ↗Yuki Taya, Lis Kanashiro Pereira, Fei Cheng et al.6 citations
- UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection ↗Ben Burtenshaw, Mike Kestemont6 citations
- YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles ↗Xinge Ma, Jin Wang, Xuejie Zhang6 citations
- YNU-HPCC at SemEval-2021 Task 6: Combining ALBERT and Text-CNN for Persuasion Detection in Texts and Images ↗Xingyu Zhu, Jin Wang, Xuejie Zhang6 citations
- CSECU-DSG at SemEval-2021 Task 6: Orchestrating Multimodal Neural Architectures for Identifying Persuasion Techniques in Texts and Images ↗Tashin Hossain, Jannatun Naim, Fareen Tasneem et al.5 citations
- HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection ↗Rafel Palliser-Sans, Albert Rial-Farràs5 citations
- INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers ↗Hardik Arora, Tirthankar Ghosal, Sandeep Kumar et al.5 citations
- LISAC FSDM USMBA at SemEval-2021 Task 5: Tackling Toxic Spans Detection Challenge with Supervised SpanBERT-based Model and Unsupervised LIME-based Model ↗Abdessamad Benlahbib, Ahmed Alami, Hamza Alami5 citations
- RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction ↗Gang Rao, Maochang Li, Xiaolong Hou et al.5 citations
- UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering ↗Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel et al.5 citations
- UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features ↗Gustavo Henrique Paetzold5 citations
- UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model ↗Akbar Karimi, Leonardo Rossi, Andrea Prati5 citations
- Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning ↗Boris Zhestiankin, Maria Ponomareva5 citations
- cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora ↗Abhilash Nandy, Sayantan Adak, Tanurima Halder et al.5 citations
- BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models ↗Aadil Islam, Weicheng Ma, Soroush Vosoughi4 citations
- BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables ↗Aditya Jindal, Ankur Gupta, Jaya Srivastava et al.4 citations
- CLaC-np at SemEval-2021 Task 8: Dependency DGCNN ↗Nihatha Lathiff, Pavel PK Khloponin, Sabine Bergler4 citations
- CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity ↗Nabil El Mamoun, Abdelkader El Mahdaouy, Abdellah El Mekki et al.4 citations
- CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction ↗Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy4 citations
- Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction ↗Anna Martin, Ted Pedersen4 citations
- HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention ↗Yubo Xie, Junze Li, Pearl Pu4 citations
- LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features ↗Erfan Ghadery, Damien Sileo, Marie-Francine Moens4 citations
- MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection ↗Zhen Wang, Hongjie Fan, Junfei Liu4 citations
- NLyticsFKIE at SemEval-2021 Task 6: Detection of Persuasion Techniques In Texts And Images ↗Albert Pritzkau4 citations
- Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings ↗Erik Rozi, Niveditha Iyer, Gordon Chi et al.4 citations
- TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings ↗Rajalakshmi Sivanaiah, Angel Deborah S, S Milton Rajendram et al.4 citations
- The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation ↗Xin Su, Yiyun Zhao, Steven Bethard4 citations
- UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth ↗Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang4 citations
- UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models ↗Alireza Salemi, Nazanin Sabri, Emad Kebriaei et al.4 citations
- Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning ↗Devansh Gautam, Kshitij Gupta, Manish Shrivastava4 citations
- YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective ↗Mayukh Sharma, Ilanthenral Kandasamy, W.B. Vasantha4 citations
- hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity ↗Bo Huang, Yang Bai, Xiaobing Zhou4 citations
- hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency ↗Bo Huang, Yang Bai, Xiaobing Zhou4 citations
- C3SL at SemEval-2021 Task 1: Predicting Lexical Complexity of Words in Specific Contexts with Sentence Embeddings ↗Raul Almeida, Hegler Tissot, Marcos Didonet Del Fabro3 citations
- CLaC-BP at SemEval-2021 Task 8: SciBERT Plus Rules for MeasEval ↗Benjamin Therien, Parsa Bagherzadeh, Sabine Bergler3 citations
- Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction ↗Zheng Yuan, Gladys Tyen, David Strohmaier3 citations
- CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features ↗Giuseppe Vettigli, Antonio Sorgente3 citations
- Complex words identification using word-level features for SemEval-2020 Task 1 ↗Jenny A. Ortiz-Zambrano, Arturo Montejo-Ráez3 citations
- DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021? ↗Alexandros Karasakalidis, Dimitrios Effrosynidis, Avi Arampatzis3 citations
- FII FUNNY at SemEval-2021 Task 7: HaHackathon: Detecting and rating Humor and Offense ↗Mihai Samson, Daniela Gifu3 citations
- GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings ↗Maxim Rachinskiy, Nikolay Arefyev3 citations
- IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction ↗Kervy Rivas Rojas, Fernando Alva-Manchego3 citations
- IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task ↗Neil Shirude, Sagnik Mukherjee, Tushar Shandhilya et al.3 citations
- ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction ↗Genyu Zhang, Yu Su, Changhong He et al.3 citations
- JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction ↗Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind3 citations
- KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations ↗Neel Karia, Ayush Kaushal, Faraaz Mallick3 citations
- LZ1904 at SemEval-2021 Task 5: Bi-LSTM-CRF for Toxic Span Detection using Pretrained Word Embedding ↗Liang Zou, Wen Li3 citations
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