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Autor*innen: Beigman Klebanov, Beata; Stab, Christian; Song, Yi; Gyawali, Binod; Gurevych, Iryna
Titel: Argumentation. Content, structure, and relationship with essay quality
Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016), Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 70-75
URL: http://aclweb.org/anthology/W/W16/W16-2808.pdf
Dokumenttyp: 4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: Argumentation; Aufsatz; Computerlinguistik; Evaluation; Experiment; Inhalt; Qualität; Struktur
Abstract (english): 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. (DIPF/Orig.)
DIPF-Abteilung: Informationszentrum Bildung