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A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Andreas Hanselowski
|
Christian Stab
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Claudia Schulz
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Zile Li
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Iryna Gurevych
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
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https://www.aiphes.tu-darmstadt.de
https://www.ukp.tu-darmstadt.de/
http://www.snopes.com/
https://github.com/UKPLab/conll2019-
https://tudatalib.ulb.tu-
http://fever.ai/task.html/
http://www.fakenewschallenge.org/
https://github.com/UKPLab/conll2019-
http://blogs.channel4.com/factcheck/
http://www.politifact.com/truth-o-
http://www.emergent.info/
https://en.wikipedia.org/wiki/
https://en.wikipedia.org/wiki/
https://www.mturk.com/
Field Of Study
Task
Corpus Annotation
Textual Entailment
Summarization
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Deep Learning
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Multilingual
English
French
Arabic
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