@article{M0131CEAD,
title = "A Contrastive Learning Method for Automated Fact-Checking",
journal = "Journal of KIISE, JOK",
year = "2023",
issn = "2383-630X",
doi = "10.5626/JOK.2023.50.8.680",
author = "Seonyeong Song,Jejun An,Kunwoo Park",
keywords = "automated fact checking,contrastive learning,sentence embedding,natural language processing",
abstract = "As proliferation of online misinformation increases, the importance of automated fact-checking, which enables real-time evaluation, has been emphasized. In this study, we propose a contrastive learning method for automated fact-checking in Korean. The proposed method deems a sentence similar to evidence as a positive sample to determine the authenticity of a given claim. In evaluation experiments, we found that the proposed method was more effective in the sentence selection step of finding evidence sentences for a given claim than previous methods. such as a finetuned pretrained language model and SimCSE. This study shows a potential of contrastive learning for automated fact-checking."
}