2 papers
cs.CL2020
A Benchmark Dataset of Check-worthy Factual Claims
Fatma Arslan, Naeemul Hassan, Chengkai Li +1
In this paper we present the ClaimBuster dataset of 23,533 statements extracted from all U.S. general election presidential debates and annotated by human coders. The ClaimBuster d…
cs.CL2020
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
Kevin Meng, Damian Jimenez, Fatma Arslan +3
We present a study on the efficacy of adversarial training on transformer neural network models, with respect to the task of detecting check-worthy claims. In this work, we introdu…