Computationally modeling the impact of task-appropriate language complexity and accuracy on human grading of German essays

dc.contributor.author	Weiss, Zarah	de_DE
dc.contributor.author	Meurers, Walt Detmar	de_DE
dc.date.accessioned	2021-11-02T14:44:51Z
dc.date.available	2021-11-02T14:44:51Z
dc.date.issued	2019	de_DE
dc.identifier.uri	http://hdl.handle.net/10900/120307
dc.language.iso	en
dc.relation.uri	http://dx.doi.org/10.18653/v1/W19-4404	de_DE
dc.relation.uri	https://aclanthology.org/W19-4404	de_DE
dc.title	Computationally modeling the impact of task-appropriate language complexity and accuracy on human grading of German essays	de_DE
dc.type	BookPart	de_DE
utue.personen.pnd	Meurers, Walt Detmar/18261929X	de_DE
utue.publikation.seiten	30-45	de_DE
utue.personen.roh	Weiss, Zarah	de_DE
utue.personen.roh	Riemenschneider, Anja	de_DE
utue.personen.roh	Schröter, Pauline	de_DE
utue.personen.roh	Meurers, Walt Detmar	de_DE
utue.publikation.buchdesbeitrags	Innovative Use of NLP for Building Educational Applications - proceedings of the 14th workshop - Stroudsburg, PA : Association for Computational Linguistics (ACL), 2019	de_DE
utue.titel.verfasserangabe	Zarah Weiss, Anja Riemenschneider, Pauline Schröter, Detmar Meurers	de_DE
utue.publikation.abrufzeichen	o108	de_DE
utue.publikation.swbdatum	2110	de_DE
utue.artikel.ppn	1772540420	de_DE

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