3 papers
cs.CL2021
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
Rachit Bansal, Himanshu Choudhary, Ravneet Punia +3
Despite the recent advancements of attention-based deep learning architectures across a majority of Natural Language Processing tasks, their application remains limited in a low-re…
cs.CL2021
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
Rachit Bansal, William Scott Paka, Nidhi +2
Fake tweets are observed to be ever-increasing, demanding immediate countermeasures to combat their spread. During COVID-19, tweets with misinformation should be flagged and neutra…
cs.CL2021
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka, Rachit Bansal, Abhay Kaushik +2
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a tsunami of fake news and misinformation on social media. At the time when reliable information is vit…