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A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd

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

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Miller, Tristan and Sukhareva, Maria and Gurevych, Iryna
Title: A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
Language: English
Title of Book: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics
Divisions: Department of Computer Science
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
Event Location: Minneapolis, USA
Event Dates: 02.06.2019--07.10.2019
Date Deposited: 27 Feb 2019 10:10
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