---
title: "SemEval 2021 — all accepted papers, page 2 — Elamur Research"
description: "All 186 papers of SemEval 2021 · page 2 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2021/papers/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/semeval/2021/papers/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [SemEval](https://md.research.elamur.ai/free/en/venues/semeval/) / [2021](https://md.research.elamur.ai/free/en/venues/semeval/2021/) / [papers](https://md.research.elamur.ai/free/en/venues/semeval/2021/papers/) / page 2

# SemEval 2021: all accepted papers

186 papers · page 2 of 2 · the most cited first · [← SemEval 2021](https://md.research.elamur.ai/free/en/venues/semeval/2021/)

[← prev](https://md.research.elamur.ai/free/en/venues/semeval/2021/papers/) [1](https://md.research.elamur.ai/free/en/venues/semeval/2021/papers/) **2**

101. **[Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/ranjbar-2021-lotus-semeval-2021-task-2/)**Niloofar Ranjbar, Hossein Zeinali*3 citations · our summary*
102. **[MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers ↗](https://aclanthology.org/2021.semeval-1.62/)**Rohan Gupta, Jay Mundra, Deepak Mahajan et al.*3 citations*
103. **[MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.124/)**Mikhail Kotyushev, Anna Glazkova, Dmitry Morozov*3 citations*
104. **[MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training ↗](https://aclanthology.org/2021.semeval-1.162/)**Jian Ma, Shuyi Xie, Haiqin Yang et al.*3 citations*
105. **[Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification ↗](https://aclanthology.org/2021.semeval-1.76/)**Robert Flynn, Matthew Shardlow*3 citations*
106. **[PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP) ↗](https://aclanthology.org/2021.semeval-1.70/)**Rong Xiang, Jinghang Gu, Emmanuele Chersoni et al.*3 citations*
107. **[RS_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction ↗](https://aclanthology.org/2021.semeval-1.82/)**Regina Stodden, Gayatri Venugopal*3 citations*
108. **[Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation ↗](https://aclanthology.org/2021.semeval-1.55/)**Sangwon Yoon, Yanghoon Kim, Kyomin Jung*3 citations*
109. **[Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need ↗](https://aclanthology.org/2021.semeval-1.177/)**Patrick Liu, Niveditha Iyer, Erik Rozi et al.*3 citations*
110. **[TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity ↗](https://aclanthology.org/2021.semeval-1.12/)**Sebastian Gombert, Sabine Bartsch*3 citations*
111. **[WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification ↗](https://aclanthology.org/2021.semeval-1.32/)**Cees Roele*3 citations*
112. **[YNU-HPCC at SemEval-2021 Task 5: Using a Transformer-based Model with Auxiliary Information for Toxic Span Detection ↗](https://aclanthology.org/2021.semeval-1.112/)**Ruijun Chen, Jin Wang, Xuejie Zhang*3 citations*
113. **[YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need ↗](https://aclanthology.org/2021.semeval-1.161/)**Mayukh Sharma, Ilanthenral Kandasamy, W.B. Vasantha*3 citations*
114. **[katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English ↗](https://aclanthology.org/2021.semeval-1.91/)**Katja Voskoboinik*3 citations*
115. **[macech at SemEval-2021 Task 5: Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.137/)**Maggie Cech*3 citations*
116. **[Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.168/)**Brian Zylich, Akshay Gugnani, Gabriel Brookman et al.*2 citations*
117. **[AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding ↗](https://aclanthology.org/2021.semeval-1.182/)**Harshit Varma, Aadish Jain, Pratik Ratadiya et al.*2 citations*
118. **[CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way ↗](https://aclanthology.org/2021.semeval-1.81/)**Greta Smolenska, Peter Kolb, Sinan Tang et al.*2 citations*
119. **[Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation ↗](https://aclanthology.org/2021.semeval-1.96/)**Zheng Yuan, David Strohmaier*2 citations*
120. **[DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction ↗](https://aclanthology.org/2021.semeval-1.47/)**Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen*2 citations*
121. **[ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning ↗](https://aclanthology.org/2021.semeval-1.20/)**Pingsheng Liu, Linlin Wang, Qian Zhao et al.*2 citations*
122. **[ES-JUST at SemEval-2021 Task 7: Detecting and Rating Humor and Offensive Text Using Deep Learning ↗](https://aclanthology.org/2021.semeval-1.153/)**Emran Al Bashabsheh, Sanaa Abu Alasal*2 citations*
123. **[HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.117/)**Chenyi Wang, Tianshu Liu, Tiejun Zhao*2 citations*
124. **[Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness ↗](https://aclanthology.org/2021.semeval-1.36/)**Aishwarya Gupta, Avik Pal, Bholeshwar Khurana et al.*2 citations*
125. **[IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation ↗](https://aclanthology.org/2021.semeval-1.22/)**Yuqiang Xie, Luxi Xing, Wei Peng et al.*2 citations*
126. **[KaushikAcharya at SemEval-2021 Task 9: Candidate Generation for Fact Verification over Tables ↗](https://aclanthology.org/2021.semeval-1.181/)**Kaushik Acharya*2 citations*
127. **[NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer ↗](https://aclanthology.org/2021.semeval-1.23/)**Hossein Basafa, Sajad Movahedi, Ali Ebrahimi et al.*2 citations*
128. **[NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection ↗](https://aclanthology.org/2021.semeval-1.147/)**Vansh Gupta, Raksha Sharma*2 citations*
129. **[RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.37/)**Roberto Labadie, Mariano Jason Rodriguez, Reynier Ortega et al.*2 citations*
130. **[SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.134/)**Flor Miriam Plaza-del-Arco, Pilar López-Úbeda, L. Alfonso Ureña-López et al.*2 citations*
131. **[SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.133/)**Michał Satława, Katarzyna Zamłyńska, Jarosław Piersa et al.*2 citations*
132. **[SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection ↗](https://aclanthology.org/2021.semeval-1.126/)**David Dale, Igor Markov, Varvara Logacheva et al.*2 citations*
133. **[Tsia at SemEval-2021 Task 7: Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.154/)**Zhengyi Guan, Xiaobing ZXB Zhou*2 citations*
134. **[UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations ↗](https://aclanthology.org/2021.semeval-1.101/)**Bradley Hauer, Hongchang Bao, Arnob Mallik et al.*2 citations*
135. **[UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders ↗](https://aclanthology.org/2021.semeval-1.83/)**Milton King, Ali Hakimi Parizi, Samin Fakharian et al.*2 citations*
136. **[UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.26/)**Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu*2 citations*
137. **[UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction ↗](https://aclanthology.org/2021.semeval-1.28/)**Erik Yan, Harish Tayyar Madabushi*2 citations*
138. **[UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter ↗](https://aclanthology.org/2021.semeval-1.129/)**Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy et al.*2 citations*
139. **[Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation ↗](https://aclanthology.org/2021.semeval-1.15/)**Huiling You, Xingran Zhu, Sara Stymne*2 citations*
140. **[ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ↗](https://aclanthology.org/2021.semeval-1.108/)**Xin Xie, Xiangnan Chen, Xiang Chen et al.*2 citations*
141. **[abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.35/)**Chao Pang, Xiaoran Fan, Weiyue Su et al.*2 citations*
142. **[archer at SemEval-2021 Task 1: Contextualising Lexical Complexity ↗](https://aclanthology.org/2021.semeval-1.90/)**Irene Russo*2 citations*
143. **[BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data ↗](https://aclanthology.org/2021.semeval-1.52/)**Abdullatif Köksal, Yusuf Yüksel, Bekir Yıldırım et al.*1 citation*
144. **[EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles ↗](https://aclanthology.org/2021.semeval-1.172/)**Chandan Kumar Pandey, Chirag Singh, Karan Mangla*1 citation*
145. **[Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.127/)**Vaibhav Jain, Mina Naghshnejad*1 citation*
146. **[FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection ↗](https://aclanthology.org/2021.semeval-1.146/)**Xiaolong Hou, Junsong Ren, Gang Rao et al.*1 citation*
147. **[IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes ↗](https://aclanthology.org/2021.semeval-1.53/)**Harshit Kumar, Jinang Shah, Nidhi Hegde et al.*1 citation*
148. **[LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity ↗](https://aclanthology.org/2021.semeval-1.10/)**Raksha Agarwal, Niladri Chatterjee*1 citation*
149. **[MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation ↗](https://aclanthology.org/2021.semeval-1.183/)**Jinquan Sun, Qi Zhang, Yu Wang et al.*1 citation*
150. **[PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training ↗](https://aclanthology.org/2021.semeval-1.98/)**Harsh Goyal, Aadarsh Singh, Priyanshu Kumar*1 citation*
151. **[PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning ↗](https://aclanthology.org/2021.semeval-1.109/)**Ye Wang, Yanmeng Wang, Haijun Zhu et al.*1 citation*
152. **[ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction ↗](https://aclanthology.org/2021.semeval-1.19/)**Abhishek Mittal, Ashutosh Modi*1 citation*
153. **[RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection ↗](https://aclanthology.org/2021.semeval-1.171/)**Nathan Chi, Ryan Chi*1 citation*
154. **[Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables ↗](https://aclanthology.org/2021.semeval-1.179/)**Xiaoyi Ruan, Meizhi Jin, Jian Ma et al.*1 citation*
155. **[Sefamerve ARGE at SemEval-2021 Task 5: Toxic Spans Detection Using Segmentation Based 1-D Convolutional Neural Network Model ↗](https://aclanthology.org/2021.semeval-1.123/)**Selman Delil, Birol Kuyumcu, Cüneyt Aksakallı*1 citation*
156. **[TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension ↗](https://aclanthology.org/2021.semeval-1.5/)**Jing Zhang, Yimeng Zhuang, Yinpei Su*1 citation*
157. **[Team_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data ↗](https://aclanthology.org/2021.semeval-1.164/)**Anik Mondal, Raksha Sharma*1 citation*
158. **[UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings ↗](https://aclanthology.org/2021.semeval-1.152/)**José Antonio García-Díaz, Rafael Valencia-García*1 citation*
159. **[UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.163/)**Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Mihai Dascalu*1 citation*
160. **[UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. ↗](https://aclanthology.org/2021.semeval-1.97/)**Wei Li, Harish Tayyar Madabushi, Mark Lee*1 citation*
161. **[UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning ↗](https://aclanthology.org/2021.semeval-1.106/)**Thanet Markchom, Huizhi Liang*1 citation*
162. **[UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection ↗](https://aclanthology.org/2021.semeval-1.166/)**Zehao Liu, Carl Haines, Huizhi Liang*1 citation*
163. **[XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning ↗](https://aclanthology.org/2021.semeval-1.105/)**Yuxin Jiang, Ziyi Shou, Qijun Wang et al.*1 citation*
164. **[ZYJ at SemEval-2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense with ALBERT-Based Model ↗](https://aclanthology.org/2021.semeval-1.165/)**Yingjia Zhao, Xin Tao*1 citation*
165. **[hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification ↗](https://aclanthology.org/2021.semeval-1.122/)**Bo Huang, Yang Bai, Xiaobing Zhou*1 citation*
166. **[BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation ↗](https://aclanthology.org/2021.semeval-1.43/)**Weikang Wang, Yi Wu, Yixiang Liu et al.
167. **[BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer ↗](https://aclanthology.org/2021.semeval-1.128/)**Harsh Kataria, Ambuje Gupta, Vipul Mishra
168. **[CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection ↗](https://aclanthology.org/2021.semeval-1.135/)**Tashin Hossain, Jannatun Naim, Fareen Tasneem et al.
169. **[CSECU-DSG at SemEval-2021 Task 7: Detecting and Rating Humor and Offense Employing Transformers ↗](https://aclanthology.org/2021.semeval-1.170/)**Afrin Sultana, Nabila Ayman, Abu Nowshed Chy
170. **[DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.155/)**Hani Al-Omari, Isra'a AbedulNabi, Rehab Duwairi
171. **[DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating ↗](https://aclanthology.org/2021.semeval-1.169/)**Samuel Akrah
172. **[FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation ↗](https://aclanthology.org/2021.semeval-1.104/)**Ciprian Bodnar, Andrada Tapuc, Cosmin Pintilie et al.
173. **[GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task ↗](https://aclanthology.org/2021.semeval-1.92/)**Wanying Xie
174. **[Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.34/)**Renyuan Liu, Xiaobing Zhou
175. **[Gulu at SemEval-2021 Task 7: Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.156/)**Maoqin Yang
176. **[HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection ↗](https://aclanthology.org/2021.semeval-1.141/)**Konrad Kaczyński, Piotr Przybyła
177. **[IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining ↗](https://aclanthology.org/2021.semeval-1.173/)**Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi et al.
178. **[LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting ↗](https://aclanthology.org/2021.semeval-1.21/)**Abheesht Sharma, Harshit Pandey, Gunjan Chhablani et al.
179. **[NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension ↗](https://aclanthology.org/2021.semeval-1.110/)**Zhixiang Chen, Yikun Lei, Pai Liu et al.
180. **[Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction ↗](https://aclanthology.org/2021.semeval-1.107/)**Shikhar Shukla, Sarthak, Karm Veer Arya
181. **[PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging ↗](https://aclanthology.org/2021.semeval-1.54/)**Kemal Kurniawan, Lea Frermann, Philip Schulz et al.
182. **[SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task ↗](https://aclanthology.org/2021.semeval-1.16/)**Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko
183. **[SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation ↗](https://aclanthology.org/2021.semeval-1.18/)**Gábor Berend
184. **[THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation ↗](https://aclanthology.org/2021.semeval-1.50/)**Yuxuan Zhou, Kaiyin Zhou, Xien Liu et al.
185. **[YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing ↗](https://aclanthology.org/2021.semeval-1.184/)**Zhewen Yu, Jin Wang, Xuejie Zhang
186. **[hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense ↗](https://aclanthology.org/2021.semeval-1.160/)**Bo Huang, Yang Bai

[← prev](https://md.research.elamur.ai/free/en/venues/semeval/2021/papers/) [1](https://md.research.elamur.ai/free/en/venues/semeval/2021/papers/) **2**

- [← back to](https://md.research.elamur.ai/free/en/venues/semeval/2021/) — SemEval 2021
