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dc.contributor.authorHanselowski, Andreas
dc.contributor.authorStab, Christian
dc.contributor.authorSchulz, Claudia
dc.contributor.authorLi, Zile
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2019-09-09T13:40:05Z
dc.date.available2019-09-09T13:40:05Z
dc.date.issued2019-09-09
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2081
dc.descriptionThis 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.en_US
dc.language.isoenen_US
dc.relationIsReferencedBy;URL;https://github.com/UKPLab/conll2019-snopes-experiments
dc.relationIsReferencedBy;URL;https://github.com/UKPLab/conll2019-snopes-crawling
dc.rightsin Copyright
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0/
dc.subjectFact-Checkingen_US
dc.subjectFake-Newsen_US
dc.subjectStance Detectionen_US
dc.subjectEvidence Identificationen_US
dc.subjectClaim Validationen_US
dc.subjectDocument Retrievalen_US
dc.titleUKP Snopes Corpusen_US
dc.typeDataseten_US
dc.typeTexten_US
tud.tubiblio116247en_US


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