Papers
575 papers found
iSarcasm: A Dataset of Intended Sarcasm
Silviu Oprea, Walid Magdy
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Joan Plepi, Lucie Flek
SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson et al.
PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm
Xiyang Du, Dou Hu, Jin Zhi et al.
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling
Aparna K Ajayan, Krishna Mohanan, Anugraha S et al.
High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts
Hamza Alami, Abdessamad Benlahbib, Ahmed Alami
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar et al.
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models
Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R et al.
I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques
Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata et al.
NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy et al.
UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection
Emmanuel Osei-Brefo, Huizhi Liang
I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning
Pablo Gonzalez Diaz, Pablo Cordon, Jacinto Mata et al.
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore et al.
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection
Jason Angel, Segun Aroyehun, Alexander Gelbukh
YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic
Guangmin Zheng, Jin Wang, Xuejie Zhang
FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic
Tudor Manoleasa, Daniela Gifu, Iustin Sandu
LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets
Abdessamad Benlahbib, Hamza Alami, Ahmed Alami
SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson et al.
PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm
Xiyang Du, Dou Hu, Jin Zhi et al.
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling
Aparna K Ajayan, Krishna Mohanan, Anugraha S et al.
High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts
Hamza Alami, Abdessamad Benlahbib, Ahmed Alami
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar et al.
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models
Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R et al.
I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques
Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata et al.