Datei(en) zugriffsbeschränkt

UKP Snopes Corpus

Vorschaubild

Dateien

ukp_snopes_corpus.zip (60.65 MB)

Datum

2019-09-09

Typ

Dataset
Text

Autor:innen

Hanselowski, Andreas
Stab, Christian
Schulz, ClaudiaORCID person.orcid-tooltip.not-authenticated
Li, ZileORCID person.orcid-tooltip.not-authenticated
Gurevych, Iryna

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Zusammenfassung

Beschreibung

This corpus is based on the Snopes fact-checking website and provides annotations for training machine learning models for different tasks in the fact-checking process: document retrieval, stance detection, evidence identification and claim validation. The corpus contains 6,422 validated claims, 16,507 evidence text snippets (annotated with sentence level evidence), and 14,296 documents with their sources (URLs). Please note: We crawled and provide the data according to the regulations of the German text and data mining policy, and we are allowed to share the corpus only for research purposes. Thus, in order to be able to download the corpus, you need to get in contact with us. If you use the corpus in academic works, please cite our CoNLL paper.

Schlagwörter

Fact-Checking, Fake-News, Stance Detection, Evidence Identification, Claim Validation, Document Retrieval

Zitierform

Identifikator

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2081

item.page.endorsement

Verknüpfte Ressourcen

Wird Verwiesen Von
https://github.com/UKPLab/conll2019-snopes-experiments
https://github.com/UKPLab/conll2019-snopes-crawling

DFG-Fach

Projekt(e)

Fachbereich(e)

Sammlungen

Fact Checking

Lizenz

license.name.InC
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: license.name.InC

Versionsgeschichte

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 2019-09-09 15:40:05
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