5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CL2021★ 5 cited
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
Rahul Mishra, Shuo Zhang
Automatic detection of click-bait and incongruent news headlines is crucial to maintaining the reliability of the Web and has raised much research attention. However, most existing…
cs.CL2020
Generating Fact Checking Summaries for Web Claims
Rahul Mishra, Dhruv Gupta, Markus Leippold
We present SUMO, a neural attention-based approach that learns to establish the correctness of textual claims based on evidence in the form of text documents (e.g., news articles o…
cs.CL2020
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching
Rahul Mishra, Piyush Yadav, Remi Calizzano +1
Measuring the congruence between two texts has several useful applications, such as detecting the prevalent deceptive and misleading news headlines on the web. Many works have prop…