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ORCIDCONSTRAINT@AAAI 2021: Virtual Event
- Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar:
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers. Communications in Computer and Information Science 1402, Springer 2021, ISBN 978-3-030-73695-8 - Ashwin Singh
, Rudraroop Ray:
Identifying Offensive Content in Social Media Posts. 1-8 - Omar Sharif, Mohammed Moshiul Hoque:
Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation. 9-20 - Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. 21-29 - Shreyash Arya, Hridoy Sankar Dutta:
Revealing the Blackmarket Retweet Game: A Hybrid Approach. 30-41 - Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. 42-53 - Mohammed Azhan, Mohammad Ahmad:
LaDiff ULMFiT: A Layer Differentiated Training Approach for ULMFiT. 54-61 - Renyuan Liu, Xiaobing Zhou:
Extracting Latent Information from Datasets in CONSTRAINT 2021 Shared Task. 62-73 - Siyao Zhou, Jie Li, Haiyan Ding:
Fake News and Hostile Posts Detection Using an Ensemble Learning Model. 74-82 - Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou:
Transformer-Based Language Model Fine-Tuning Methods for COVID-19 Fake News Detection. 83-92 - Anand Zutshi, Aman Raj:
Tackling the Infodemic: Analysis Using Transformer Based Models. 93-105 - Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li:
Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English. 106-115 - Anna Glazkova, Maksim Glazkov, Timofey Trifonov:
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection. 116-127 - Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung:
Model Generalization on COVID-19 Fake News Detection. 128-140 - Ipek Baris, Zeyd Boukhers:
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information. 141-152 - Apurva Wani, Isha Joshi, Snehal Ishwar Khandve, Vedangi Wagh, Raviraj Joshi:
Evaluating Deep Learning Approaches for Covid19 Fake News Detection. 153-163 - Sourya Dipta Das, Ayan Basak, Saikat Dutta:
A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection. 164-176 - Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 Related Fake News via Neural Stacking. 177-188 - Akansha Gautam, Venktesh V, Sarah Masud:
Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task. 189-200 - Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings. 201-212 - Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi Leveraging Pre-trained Language Models. 213-223 - Siva Sai, Alfred W. Jacob, Sakshi Kalra, Yashvardhan Sharma:
Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification. 224-235 - Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. 236-243 - Varad Bhatnagar, Prince Kumar, Sairam Moghili, Pushpak Bhattacharyya:
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi. 244-255
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