8 citations · 15 across the 4 of their papers we have counts for
4 papers · 1 filter
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
Jan Drchal, Herbert Ullrich, Tomáš Mlynář +1
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…
Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis
Matyáš Boháček, Michal Bravanský, Filip Trhlík +1
We present the Verifee Dataset: a novel dataset of news articles with fine-grained trustworthiness annotations. We develop a detailed methodology that assesses the texts based on t…
CsFEVER and CTKFacts: Acquiring Czech data for fact verification
Herbert Ullrich, Jan Drchal, Martin Rýpar +2
In this paper, we examine several methods of acquiring Czech data for automated fact-checking, which is a task commonly modeled as a classification of textual claim veracity w.r.t.…
Czech News Dataset for Semantic Textual Similarity
Jakub Sido, Michal Seják, Ondřej Pražák +2
This paper describes a novel dataset consisting of sentences with semantic similarity annotations. The data originate from the journalistic domain in the Czech language. We describ…