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SemEval - 2022
Total Papers:- 234
Total Papers accross all years:- 1352
Total Citations :- 0
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PINGAN_AI at SemEval-2022 Task 9: Recipe knowledge enhanced model applied in Competence-based Multimodal Question Answering
Zhihao Ruan |
Xiaolong Hou |
Lianxin Jiang |
DuluthNLP at SemEval-2022 Task 7: Classifying Plausible Alternatives with Pre–trained ELECTRA
Samuel Akrah |
Ted Pedersen |
Nikkei at SemEval-2022 Task 8: Exploring BERT-based Bi-Encoder Approach for Pairwise Multilingual News Article Similarity
Shotaro Ishihara |
Hono Shirai |
UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition
Hyunju Song |
Steven Bethard |
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language
Kalaivani Adaikkan |
Thenmozhi Durairaj |
RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations
Wessel Poelman |
Gijs Danoe |
Esther Ploeger |
Frank van den Berg |
Tommaso Caselli |
Lukas Edman |
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification
Diksha Krishnan |
Jerin Mahibha C |
Thenmozhi Durairaj |
LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition
Ngoc Lai |
SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector Representations
Mikhail Kuimov |
Daryna Dementieva |
Alexander Panchenko |
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity
Dina Pisarevskaya |
Arkaitz Zubiaga |
PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm
Xiyang Du |
Dou Hu |
Jin Zhi |
Lianxin Jiang |
Xiaofeng Shi |
HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models
Minghuan Tan |
JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts
Daewook Kang |
Sung-Min Lee |
Eunhwan Park |
Seung-Hoon Na |
SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge
Roberto Zamparelli |
Shammur Chowdhury |
Dominique Brunato |
Cristiano Chesi |
Felice Dell’Orletta |
Md. Arid Hasan |
Giulia Venturi |
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 |
Muskaan Singh |
Petr Motlicek |
Tirthankar Ghosal |
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