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

Hanselowski, Andreas ; Stab, Christian ; Schulz, Claudia ; Li, Zile ; Gurevych, Iryna (2019):
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking.
In: Proceedings of the 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019),
Hong Kong, China, The 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019), Hong Kong, China, 03.11.2019-04.11.2019, [Conference or Workshop Item]

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Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Hanselowski, Andreas ; Stab, Christian ; Schulz, Claudia ; Li, Zile ; Gurevych, Iryna
Title: A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Language: English
Title of Book: Proceedings of the 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019)
Place of Publication: Hong Kong, China
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: 18 Sep 2019 11:19
Official URL: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...
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