Papers
548 papers found
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?
Alexandros Karasakalidis, Dimitrios Effrosynidis, Avi Arampatzis
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma, Shuyi Xie, Haiqin Yang et al.
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma, Shuyi Xie, Haiqin Yang et al.
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma, Shuyi Xie, Haiqin Yang et al.
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task
Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task
Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task
Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining
Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi et al.
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining
Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi et al.
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining
Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi et al.
SemEval-2021 Task 1: Lexical Complexity Prediction
Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold et al.
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.
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC)
Federico Martelli, Najla Kalach, Gabriele Tola et al.
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan et al.
SemEval-2021 Task 5: Toxic Spans Detection
John Pavlopoulos, Jeffrey Sorensen, Léo Laugier et al.
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar et al.
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
Zhida Feng, Jiji Tang, Jiaxiang Liu et al.
LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity
Raksha Agarwal, Niladri Chatterjee
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction
Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction
Kervy Rivas Rojas, Fernando Alva-Manchego
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
Huiling You, Xingran Zhu, Sara Stymne
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning
Boris Zhestiankin, Maria Ponomareva