Miller, Tristan ; Sukhareva, Maria ; Gurevych, Iryna (2019):
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019), pp. 1790-1796,
The 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019), Minneapolis, USA, 02.06.2019-07.10.2019, [Conference or Workshop Item]

Item Type:	Conference or Workshop Item
Erschienen:	2019
Creators:	Miller, Tristan ; Sukhareva, Maria ; Gurevych, Iryna
Title:	A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
Language:	English
Book Title:	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
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 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
Event Location:	Minneapolis, USA
Event Dates:	02.06.2019-07.10.2019
Date Deposited:	18 Sep 2019 12:12
URL / URN:	https://www.aclweb.org/anthology/N19-1177
PPN:
Corresponding Links:	https://github.com/UKPLab/naacl2019-argu...
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• A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd. (deposited 27 Feb 2019 10:10)
  • A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd. (deposited 18 Sep 2019 12:12) [Currently Displayed]

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