Header

UZH-Logo

Maintenance Infos

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations


Ranković, Bojana; Smirnow, Sarah; Jaggi, Martin; Tomasik, Martin (2020). Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations. In: LAK20 - 10th International Conference on Learning Analytics & Knowledge, Frankfurt am Main, 23 March 2020 - 27 March 2020, 137-139.

Statistics

Altmetrics

Downloads

5 downloads since deposited on 21 Jan 2021
5 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Educational Evaluation
Dewey Decimal Classification:370 Education
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Networks and Communications
Language:English
Event End Date:27 March 2020
Deposited On:21 Jan 2021 16:45
Last Modified:22 Jan 2021 21:02
Publisher:LAK20
ISBN:978-1-4503-7712-6
OA Status:Green

Download

Green Open Access

Download PDF  'Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations'.
Preview
Content: Published Version
Filetype: PDF
Size: 98kB
Licence: Creative Commons: Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)