Web: http://arxiv.org/abs/2206.07535

June 16, 2022, 1:11 a.m. | Oisín Nolan, Jeroen van Mourik, Callum Tilbury

cs.LG updates on arXiv.org arxiv.org

This paper presents a new approach to the FNC-1 fake news classification task
which involves employing pre-trained encoder models from similar NLP tasks,
namely sentence similarity and natural language inference, and two neural
network architectures using this approach are proposed. Methods in data
augmentation are explored as a means of tackling class imbalance in the
dataset, employing common pre-existing methods and proposing a method for
sample generation in the under-represented class using a novel sentence
negation algorithm. Comparable overall performance …

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