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Multi-Task Learning for Argumentation Mining in Low-Resource Settings

Schulz, Claudia and Eger, Steffen and Daxenberger, Johannes and Kahse, Tobias and Gurevych, Iryna (2018):
Multi-Task Learning for Argumentation Mining in Low-Resource Settings.
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, New Orleans, USA, [Online-Edition: http://aclweb.org/anthology/N18-2006],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Schulz, Claudia and Eger, Steffen and Daxenberger, Johannes and Kahse, Tobias and Gurevych, Iryna
Title: Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Language: English
Title of Book: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: UKP_p_ArgumenText, UKP_a_ArMin
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 Location: New Orleans, USA
Date Deposited: 01 Mar 2018 09:17
Official URL: http://aclweb.org/anthology/N18-2006
Identification Number: TUD-CS-2018-0041
Related URLs:
Projects: ArgumenText
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