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ORCIDSemEval@ACL/IJCNLP 2021: Virtual Event
- Alexis Palmer, Nathan Schneider, Natalie Schluter, Guy Emerson, Aurélie Herbelot, Xiaodan Zhu:
Proceedings of the 15th International Workshop on Semantic Evaluation, SemEval@ACL/IJCNLP 2021, Virtual Event / Bangkok, Thailand, August 5-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-70-1 - Frontmatter.
- Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri:
SemEval-2021 Task 1: Lexical Complexity Prediction. 1-16 - Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi:
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. 17-23 - Federico Martelli, Najla Kalach, Gabriele Tola, Roberto Navigli:
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC). 24-36 - Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. 37-50 - Jing Zhang, Yimeng Zhuang, Yinpei Su:
TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension. 51-58 - John Pavlopoulos, Jeffrey Sorensen, Léo Laugier
, Ion Androutsopoulos:
SemEval-2021 Task 5: Toxic Spans Detection. 59-69 - Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. 70-98 - Zhida Feng, Jiji Tang, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen:
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification. 99-104 - J. A. Meaney, Steven R. Wilson, Luis Chiruzzo, Adam Lopez, Walid Magdy:
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense. 105-119 - Raksha Agarwal, Niladri Chatterjee:
LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity. 120-125 - Jenny Alexandra Ortiz Zambrano, Arturo Montejo-Ráez:
Complex words identification using word-level features for SemEval-2020 Task 1. 126-129 - Sebastian Gombert, Sabine Bartsch:
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity. 130-137 - Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind:
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction. 138-143 - Kervy Rivas Rojas, Fernando Alva-Manchego:
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction. 144-149 - Huiling You, Xingran Zhu, Sara Stymne:
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation. 150-156 - Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko:
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task. 157-162 - Boris Zhestiankin, Maria Ponomareva:
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning. 163-168 - Gábor Berend:
SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation. 169-174 - Abhishek Mittal, Ashutosh Modi:
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction. 175-182 - Pingsheng Liu, Linlin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He:
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning. 183-188 - Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash:
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. 189-198 - Yuqiang Xie, Luxi Xing, Wei Peng, Yue Hu:
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation. 199-204 - Hossein Basafa, Sajad Movahedi, Ali Ebrahimi, Azadeh Shakery, Heshaam Faili:
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer. 205-210 - Archit Bansal, Abhay Kaushik, Ashutosh Modi:
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection. 211-219 - Akbar Karimi, Leonardo Rossi, Andrea Prati:
UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model. 220-224 - Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection. 225-232 - Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan:
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. 233-242 - Erik Yan, Harish Tayyar Madabushi:
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction. 243-248 - Sreyan Ghosh, Sonal Kumar:
Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments. 249-257 - Zhen Wang, Hongjie Fan, Junfei Liu:
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection. 258-262 - Huiyang Ding, David Jurgens:
HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training. 263-269 - Cees Roele:
WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification. 270-274 - Yubo Xie, Junze Li, Pearl Pu:
HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention. 275-280 - Renyuan Liu, Xiaobing Zhou:
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense. 281-285 - Chao Pang, Xiaoran Fan, Weiyue Su, Xuyi Chen, Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Shikun Feng, Yu Sun:
abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense. 286-289 - Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi:
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. 290-296 - Roberto Labadie, Mariano Jason Rodriguez Cisnero, Reynier Ortega Bueno, Paolo Rosso:
RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense. 297-305 - Corey A. Harper, Jessica Cox, Curt Kohler, Antony Scerri, Ron Daniel Jr., Paul Groth:
SemEval-2021 Task 8: MeasEval - Extracting Counts and Measurements and their Related Contexts. 306-316 - Nancy Xin Ru Wang, Diwakar Mahajan, Marina Danilevsky, Sara Rosenthal:
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). 317-326 - Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi:
BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables. 327-337 - Alexandra Uma, Tommaso Fornaciari, Anca Dumitrache, Tristan Miller, Jon Chamberlain, Barbara Plank, Edwin Simpson, Massimo Poesio:
SemEval-2021 Task 12: Learning with Disagreements. 338-347 - Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard:
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. 348-356 - Weikang Wang, Yi Wu, Yixiang Liu, Pengyuan Liu:
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation. 357-363 - Jennifer D'Souza, Sören Auer, Ted Pedersen:
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. 364-376 - Haoyang Liu, Maria Janina Sarol, Halil Kilicoglu:
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions. 377-386 - Neel Karia, Ayush Kaushal, Faraaz Mallick:
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations. 387-396 - Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen:
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction. 397-403 - Nihatha Lathiff, Pavel Khloponin, Sabine Bergler:
CLaC-np at SemEval-2021 Task 8: Dependency DGCNN. 404-409 - Benjamin Thérien, Parsa Bagherzadeh, Sabine Bergler:
CLaC-BP at SemEval-2021 Task 8: SciBERT Plus Rules for MeasEval. 410-415 - Yuxuan Zhou, Kaiyin Zhou, Xien Liu, Ji Wu, Xiaodan Zhu:
THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation. 416-422 - Thomas Müller, Julian Martin Eisenschlos, Syrine Krichene:
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training. 423-430 - Abdullatif Köksal, Yusuf Yüksel, Bekir Yildirim, Arzucan Özgür:
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data. 431-437 - Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi:
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes. 438-444 - Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. 445-451 - Sangwon Yoon, Yanghoon Kim, Kyomin Jung:
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation. 452-457 - Xin Su, Yiyun Zhao, Steven Bethard:
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation. 458-466 - Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi:
KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research. 467-477 - Xinge Ma, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles. 478-484 - Genyu Zhang, Yu Su, Changhong He, Lei Lin, Chengjie Sun, Lili Shan:
ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction. 485-489 - Anna Martin, Ted Pedersen:
Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction. 490-501 - Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch:
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers. 502-510 - Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi:
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers. 511-520 - Qinglin Zhu, Zijie Lin, Yice Zhang, Jingyi Sun, Xiang Li, Qihui Lin, Yixue Dang, Ruifeng Xu:
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection. 521-526 - Dalya Faraj, Malak Abdullah:
SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model. 527-533 - Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering. 534-540 - Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi:
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task. 541-547 - Abhinandan Tejalkumar Desai, Kai North, Marcos Zampieri, Christopher Homan:
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction. 548-553 - Alejandro Mosquera:
Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction. 554-559 - Giuseppe Vettigli, Antonio Sorgente:
CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features. 560-564 - Rong Xiang, Jinghang Gu, Emmanuele Chersoni, Wenjie Li, Qin Lu, Chu-Ren Huang:
PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP). 565-570 - Yves Bestgen:
LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures. 571-577 - Chunguang Pan, Bingyan Song, Shengguang Wang, Zhipeng Luo:
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach. 578-584 - Nabil El Mamoun, Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, Ismail Berrada:
CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity. 585-589 - Zheng Yuan, Gladys Tyen, David Strohmaier:
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction. 590-597 - Bo Huang, Yang Bai, Xiaobing Zhou:
hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity. 598-602 - Robert Flynn, Matthew Shardlow:
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification. 603-608 - George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction. 609-616 - Gustavo Henrique Paetzold:
UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features. 617-622 - Gang Rao, Maochang Li, Xiaolong Hou, Lian-Xin Jiang, Yang Mo, Jianping Shen:
RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction. 623-626 - Abdul Aziz, Md. Akram Hossain, Abu Nowshed Chy:
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction. 627-631 - Greta Smolenska, Peter Kolb, Sinan Tang, Mironas Bitinis, Héctor Hernández, Elin Asklöv:
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way. 632-639 - Regina Stodden, Gayatri Venugopal:
RS_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction. 640-649 - Milton King, Ali Hakimi Parizi, Samin Fakharian, Paul Cook:
UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders. 650-654 - Armand Rotaru:
ANDI at SemEval-2021 Task 1: Predicting complexity in context using distributional models, behavioural norms, and lexical resources. 655-660 - Tuqa Bani Yaseen, Qusai Ismail, Sarah Al-Omari, Eslam Al-Sobh, Malak Abdullah:
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models. 661-666 - Aadil Islam, Weicheng Ma, Soroush Vosoughi:
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. 667-677 - Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala:
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora. 678-682 - Raul Almeida, Hegler Tissot, Marcos Didonet Del Fabro:
C3SL at SemEval-2021 Task 1: Predicting Lexical Complexity of Words in Specific Contexts with Sentence Embeddings. 683-687 - Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe, Kathy J. Lee, Kevin Liu, Patrick Liu, Zander Lack, Jillian Tang, Ethan A. Chi:
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings. 688-693 - Irene Russo:
archer at SemEval-2021 Task 1: Contextualising Lexical Complexity. 694-699 - Katja Voskoboinik:
katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English. 700-705 - Wanying Xie:
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task. 706-712 - Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen:
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. 713-718 - Bo Huang, Yang Bai, Xiaobing Zhou:
hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency. 719-723 - Niloofar Ranjbar, Hossein Zeinali:
Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation. 724-729 - Zheng Yuan, David Strohmaier:
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation. 730-737 - Wei Li, Harish Tayyar Madabushi, Mark Lee:
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. 738-742 - Harsh Goyal, Aadarsh Singh, Priyanshu Kumar:
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training. 743-747 - Moustafa Al-Hajj, Mustafa Jarrar:
LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation. 748-755 - Maxim Rachinskiy, Nikolay Arefyev:
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings. 756-762 - Bradley Hauer, Hongchang Bao, Arnob Mallik, Grzegorz Kondrak:
UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations. 763-770 - Hansi Hettiarachchi, Tharindu Ranasinghe:
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation. 771-779 - Adis Davletov, Nikolay Arefyev, Denis Gordeev, Alexey Rey:
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation. 780-786 - Ciprian Bodnar, Andrada Tapuc, Cosmin Pintilie, Daniela Gîfu, Diana Trandabat:
FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation. 787-792 - Yuxin Jiang, Ziyi Shou, Qijun Wang, Hao Wu, Fangzhen Lin:
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning. 793-798 - Thanet Markchom, Huizhi Liang:
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning. 799-804 - Shikhar Shukla, Sarthak, Karm Veer Arya:
Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction. 805-809 - Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen:
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning. 810-819 - Ye Wang, Yanmeng Wang, Haijun Zhu, Bo Zeng, Zhenghong Hao, Shaojun Wang, Jing Xiao:
PINGAN Omini-Sinitic at SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. 820-826 - Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. 827-832 - Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. 833-840 - Ruijun Chen, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2021 Task 5: Using a Transformer-based Model with Auxiliary Information for Toxic Span Detection. 841-845 - Son T. Luu, Ngan Luu-Thuy Nguyen:
UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification. 846-851 - Kamil Plucinski, Hanna Klimczak:
GHOST at SemEval-2021 Task 5: Is explanation all you need? 852-859 - Marco Palomino, Dawid Grad, James Bedwell:
GoldenWind at SemEval-2021 Task 5: Orthrus - An Ensemble Approach to Identify Toxicity. 860-864 - Abdessamad Benlahbib, Ahmed Alami, Hamza Alami:
LISAC FSDM USMBA at SemEval-2021 Task 5: Tackling Toxic Spans Detection Challenge with Supervised SpanBERT-based Model and Unsupervised LIME-based Model. 865-869 - Chenyi Wang, Tianshu Liu, Tiejun Zhao:
HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection. 870-874 - Thakur Ashutosh Suman, Abhinav Jain:
AStarTwice at SemEval-2021 Task 5: Toxic Span Detection Using RoBERTa-CRF, Domain Specific Pre-Training and Self-Training. 875-880 - Jonathan Rusert:
NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans. 881-887 - Viet Anh Nguyen, Tam Minh Nguyen, Huy Dao Quang, Quang Pham Huu:
S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging. 888-897 - Ben Burtenshaw, Mike Kestemont:
UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection. 898-903 - Bo Huang, Yang Bai, Xiaobing Zhou:
hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification. 904-908 - Selman Delil, Birol Kuyumcu, Cüneyt Aksakalli:
Sefamerve ARGE at SemEval-2021 Task 5: Toxic Spans Detection Using Segmentation Based 1-D Convolutional Neural Network Model. 909-912 - Mikhail Kotyushev, Anna Glazkova, Dmitry Morozov:
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection. 913-918 - Phu Gia Hoang, Luan Thanh Nguyen, Kiet Van Nguyen:
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches. 919-926 - David Dale, Igor Markov, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection. 927-934 - Vaibhav Jain, Mina Naghshnejad:
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection. 935-940 - Harsh Kataria, Ambuje Gupta, Vipul Mishra:
BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer. 941-947 - Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy, Jafar Razmara:
UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter. 948-952 - Mayukh Sharma, Ilanthenral Kandasamy, W. B. Vasantha:
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective. 953-959 - Rafel Palliser-Sans, Albert Rial-Farràs:
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection. 960-966 - Yakoob Khan, Weicheng Ma, Soroush Vosoughi:
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. 967-973 - Michal Satlawa, Katarzyna Zamlynska, Jaroslaw Piersa, Joanna Kolis, Klaudia Firlag, Katarzyna Beksa, Zuzanna Bordzicka, Christian Goltz, Pawel Bujnowski, Piotr Andruszkiewicz:
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection. 974-983 - Flor Miriam Plaza del Arco, Pilar López-Úbeda, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection. 984-989 - Tashin Hossain, Jannatun Naim, Fareen Tasneem, Radiathun Tasnia, Abu Nowshed Chy:
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection. 990-994 - Alireza Salemi, Nazanin Sabri, Emad Kebriaei, Behnam Bahrak, Azadeh Shakery:
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models. 995-1002 - Maggie Cech:
macech at SemEval-2021 Task 5: Toxic Spans Detection. 1003-1008 - Liang Zou, Wen Li:
LZ1904 at SemEval-2021 Task 5: Bi-LSTM-CRF for Toxic Span Detection using Pretrained Word Embedding. 1009-1014 - Erfan Ghadery, Damien Sileo, Marie-Francine Moens:
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features. 1015-1019 - Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models. 1020-1026 - Konrad Kaczynski, Piotr Przybyla:
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection. 1027-1031 - Peiguang Li, Xuan Li, Xian Sun:
1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models. 1032-1036 - Albert Pritzkau:
NLyticsFKIE at SemEval-2021 Task 6: Detection of Persuasion Techniques In Texts And Images. 1037-1044 - Xingyu Zhu, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2021 Task 6: Combining ALBERT and Text-CNN for Persuasion Detection in Texts and Images. 1045-1050 - Pranaydeep Singh, Els Lefever:
LT3 at SemEval-2021 Task 6: Using Multi-Modal Compact Bilinear Pooling to Combine Visual and Textual Understanding in Memes. 1051-1055 - Xiaolong Hou, Junsong Ren, Gang Rao, Lianxin Lian, Zhihao Ruan, Yang Mo, Jianping Shen:
FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection. 1056-1060 - Vansh Gupta, Raksha Sharma:
NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection. 1061-1067 - Dia Abujaber, Ahmed Qarqaz, Malak Abdullah:
LeCun at SemEval-2021 Task 6: Detecting Persuasion Techniques in Text Using Ensembled Pretrained Transformers and Data Augmentation. 1068-1074 - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble. 1075-1081 - Junfeng Tian, Min Gui, Chenliang Li, Ming Yan, Wenming Xiao:
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion. 1082-1087 - Tashin Hossain, Jannatun Naim, Fareen Tasneem, Radiathun Tasnia, Abu Nowshed Chy:
CSECU-DSG at SemEval-2021 Task 6: Orchestrating Multimodal Neural Architectures for Identifying Persuasion Techniques in Texts and Images. 1088-1095 - José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings. 1096-1101 - Emran Al-Bashabsheh, Sanaa Abu Alasal:
ES-JUST at SemEval-2021 Task 7: Detecting and Rating Humor and Offensive Text Using Deep Learning. 1102-1107 - Zhengyi Guan, Xiaobing Zhou:
Tsia at SemEval-2021 Task 7: Detecting and Rating Humor and Offense. 1108-1113 - Hani Al-Omari, Isra'a AbdulNabi, Rehab Duwairi:
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense. 1114-1119 - Maoqin Yang:
Gulu at SemEval-2021 Task 7: Detecting and Rating Humor and Offense. 1120-1124 - Alexandros Karasakalidis, Dimitrios Effrosynidis, Avi Arampatzis:
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021? 1125-1129 - Bingyan Song, Chunguang Pan, Shengguang Wang, Zhipeng Luo:
DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods. 1130-1134 - Kabil Essefar, Abdellah El Mekki, Abdelkader El Mahdaouy, Nabil El Mamoun, Ismail Berrada:
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense. 1135-1140 - Bo Huang, Yang Bai:
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense. 1141-1145 - Mayukh Sharma, Ilanthenral Kandasamy, W. B. Vasantha:
YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need. 1146-1152 - Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo:
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. 1153-1159 - Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense. 1160-1168 - Anik Mondal, Raksha Sharma:
Team_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data. 1169-1174 - Yingjia Zhao, Xin Tao:
ZYJ at SemEval-2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense with ALBERT-Based Model. 1175-1178 - Zehao Liu, Carl Haines, Huizhi Liang:
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection. 1179-1184 - Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda:
TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings. 1185-1189 - Brian Zylich, Akshay Gugnani, Gabriel Brookman, Nicholas Samoray:
Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense. 1190-1195 - Samuel Akrah:
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating. 1196-1203 - Afrin Sultana, Nabila Ayman, Abu Nowshed Chy:
CSECU-DSG at SemEval-2021 Task 7: Detecting and Rating Humor and Offense Employing Transformers. 1204-1208 - Nathan Chi, Ryan Chi:
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection. 1209-1214 - Chandan Kumar Pandey, Chirag Singh, Karan Mangla:
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles. 1215-1220 - Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi, Vasudeva Varma:
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining. 1221-1225 - Mihai Samson, Daniela Gîfu:
FII FUNNY at SemEval-2021 Task 7: HaHackathon: Detecting and rating Humor and Offense. 1226-1231 - Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi:
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data. 1232-1238 - Jiarun Cao, Yuejia Xiang, Yunyan Zhang, Zhiyuan Qi, Xi Chen, Yefeng Zheng:
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse. 1239-1244 - Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi:
Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need. 1245-1248 - Adis Davletov, Denis Gordeev, Nikolay Arefyev, Emil T. Davletov:
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements. 1249-1254 - Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou:
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. 1255-1261 - Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning. 1262-1270 - Kaushik Acharya:
KaushikAcharya at SemEval-2021 Task 9: Candidate Generation for Fact Verification over Tables. 1271-1275 - Harshit Varma, Aadish Jain, Pratik Ratadiya, Abhishek Rathi:
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding. 1276-1282 - Jinquan Sun, Qi Zhang, Yu Wang, Lei Zhang:
MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation. 1283-1288 - Zhewen Yu, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing. 1289-1294 - Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He:
ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline. 1295-1302 - Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang:
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth. 1303-1309
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