Assessing the quality of information extraction

no code implementations • 5 Apr 2024 • Filip Seitl, Tomáš Kovářík, Soheyla Mirshahi, Jan Kryštůfek, Rastislav Dujava, Matúš Ondreička, Herbert Ullrich, Petr Gronat

In this paper, we introduce an automatic framework to assess the quality of the information extraction and its completeness.

Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language

1 code implementation • 15 Dec 2023 • Jan Drchal, Herbert Ullrich, Tomáš Mlynář, Václav Moravec

Given the high cost of annotating language-specific fact-checking training data, our solution builds on the Question Answering for Claim Generation (QACG) method, which we adapt and use to generate the data for all models of the pipeline.

Fact Checking Machine Translation +1

CsFEVER and CTKFacts: Acquiring Czech data for fact verification

1 code implementation • 26 Jan 2022 • Herbert Ullrich, Jan Drchal, Martin Rýpar, Hana Vincourová, Václav Moravec

We attempt to collect sets of data in form of a factual claim, evidence within the ground truth corpus, and its veracity label (supported, refuted or not enough info).

Fact Checking Fact Verification +2