Search Results for author: Jacob Daniel Devasier

Found 1 papers, 1 papers with code

Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims

1 code implementation18 Feb 2020 Kevin Meng, Damian Jimenez, Fatma Arslan, Jacob Daniel Devasier, Daniel Obembe, Chengkai Li

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.

text-classification Text Classification

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