Pipeline and dataset generation for automated fact-checking in almost any language
Jan Drchal,
Herbert Ullrich,
Tomáš Mlynář
et al.
Abstract:This article presents a pipeline for automated fact-checking leveraging publicly available language models and data. The objective is to assess the accuracy of textual claims using evidence from a ground-truth evidence corpus. The pipeline consists of two main modules—the evidence retrieval and the claim veracity evaluation. Our primary focus is on the ease of deployment in various languages that remain unexplored in the field of automated fact-checking. Unlike most similar pipelines, which work with evidence … Show more
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