11 citations · 15 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Causal BERT : Language models for causality detection between events expressed in text
Vivek Khetan, Roshni Ramnani, Mayuresh Anand +2
Causality understanding between events is a critical natural language processing task that is helpful in many areas, including health care, business risk management and finance. On…
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta, Rajkumar Pujari, Asif Ekbal +4
In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep lea…