Field, D, Pulman, S, Van Labeke, N orcid.org/0000-0001-5073-799X et al. (2 more authors) (2013) Did I really mean that? Applying automatic summarisation techniques to formative feedback. In: Angelova, G, Bontcheva, K and Mitkov, R, (eds.) Proceedings. International Conference Recent Advances in Natural Language Processing, 07-13 Sep 2013, Hissar, Bulgaria. Association for Computational Linguistics , pp. 277-284.
Abstract
(2)This paper reports on an application that delivers automated formative feedback designed to help university students improve their assignments. (3)The aim of the system is to improve the confidence and skills of the user by promoting selfdirected learning through metacognition. (4)The system focuses on the content of an essay by using automatic summarisation techniques, automatic structure recognition, diagrams, animations, and interactive exercises that promote reflection. (15)The system is currently undergoing initial exploratory rounds of testing by ex-student volunteers and will be the subject of two full-scale empirical evaluations starting in September 2013. (1)The main claims of this paper are the application and adaptation of graph-based key word and key sentence ranking methods for a novel purpose, and ensuing observations concerning the suitability of two different centrality algorithms for the purposes of key word extraction.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in the Proceedings of the International Conference Recent Advances in Natural Language Processing. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Education > Medical Education Unit (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2016 11:39 |
Last Modified: | 11 Aug 2016 11:39 |
Published Version: | http://www.aclweb.org/anthology/R13-1036 |
Status: | Published |
Publisher: | Association for Computational Linguistics |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102673 |