Klebanov, Beata Beigman ; Stab, Christian ; Burstein, Jill ; Song, Yi ; Gyawali, Binod ; Gurevych, Iryna (2016):
Argumentation: Content, Structure, and Relationship with Essay Quality.
In: Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 70-75,
Association for Computational Linguistics, Berlin, Germany, [Conference or Workshop Item]
URL / URN: http://www.aclweb.org/anthology/W16-2808
Abstract
In this paper, we investigate the relationship between argumentation structures and (a) argument content, and (b) the holistic quality of an argumentative essay. Our results suggest that structure-based approaches hold promise for automated evaluation of argumentative writing.
Item Type: | Conference or Workshop Item |
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Erschienen: | 2016 |
Creators: | Klebanov, Beata Beigman ; Stab, Christian ; Burstein, Jill ; Song, Yi ; Gyawali, Binod ; Gurevych, Iryna |
Title: | Argumentation: Content, Structure, and Relationship with Essay Quality |
Language: | English |
Abstract: | In this paper, we investigate the relationship between argumentation structures and (a) argument content, and (b) the holistic quality of an argumentative essay. Our results suggest that structure-based approaches hold promise for automated evaluation of argumentative writing. |
Book Title: | Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016) |
Publisher: | Association for Computational Linguistics |
Uncontrolled Keywords: | UKP_a_ArMin;UKP_reviewed |
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: | Berlin, Germany |
Date Deposited: | 31 Dec 2016 14:29 |
URL / URN: | http://www.aclweb.org/anthology/W16-2808 |
Identification Number: | TUD-CS-2016-1423 |
PPN: | |
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