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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Isabelle Augenstein
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Christina Lioma
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Dongsheng Wang
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Lucas Chaves Lima
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Casper Hansen
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Christian Hansen
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Jakob Grue Simonsen
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Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
No Citations Yet
https://www
https://copenlu
https://reporterslab.org/
https://en.wikipedia.org/wiki/Fact_
http://www.fakenewschallenge
https://en.wikipedia.org/
https://www.snopes.com/
https://www.washingtonpost.com/
https://www.nytimes.com/
https://www.theguardian.com/
https://www.youtube.com/
https://www.dailymail.co.uk/
https://www.usatoday.com/
https://www.politico.com/
http://www.politifact.com/
https://www.pinterest.com/
https://www.factcheck.org/
https://www.gossipcop.com/
https://www.cnn.com/
https://www.npr.org/
https://www.forbes.com/
https://www.vox.com/
https://www.theatlantic.com/
https://twitter.com/
https://www.hoax-slayer.net/
http://time.com/
https://www.bbc.com/
https://www.nbcnews.com/
https://www.cnbc.com/
https://www.cbsnews.com/
https://www.facebook.com/
https://www.newyorker.com/
https://www.foxnews.com/
https://people.com/
http://www.cnn.com/
https://datacommons.org/factcheck/download
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Language Understanding
Sentiment Analysis
Machine Translation
OCR
Language
English
Arabic
Dataset
News
Social Media
Twitter
Web Crawl