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A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking

Hanselowski, Andreas and Stab, Christian and Schulz, Claudia and Li, Zile and Gurevych, Iryna (2019):
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking.
In: The 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019), Hong Kong, China, 03.11.2019-04.11.2019, pp. 493-503, [Online-Edition: https://www.aclweb.org/anthology/K19-1046.pdf],
[Conference or Workshop Item]

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Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Hanselowski, Andreas and Stab, Christian and Schulz, Claudia and Li, Zile and Gurevych, Iryna
Title: A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Language: English
Uncontrolled Keywords: AIPHES
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: The 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019)
Event Location: Hong Kong, China
Event Dates: 03.11.2019-04.11.2019
Date Deposited: 19 Nov 2019 07:12
Official URL: https://www.aclweb.org/anthology/K19-1046.pdf
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