Quotation Wild, Fridolin, Hoisl, Bernhard, Burek, Gaston. 2009. Positioning for Conceptual Development using Latent Semantic Analysis. In Proceedings of the EACL Workshop on GEMS: Geometrical Models of Natural Language Semantics, Hrsg. R. Basili and M. Pennacchiotti, 41-48. Athens: Association for Computational Linguistics.




With increasing opportunities to learn online, the problem of positioning learners in an educational network of content offers new possibilities for the utilisation of geometry-based natural language processing techniques. In this article, the adoption of latent semantic analysis (LSA) for guiding learners in their conceptual development is investigated. We propose five new algorithmic derivations of LSA and test their validity for positioning in an experiment in order to draw back conclusions on the suitability of machine learning from previously accredited evidence. Special attention is thereby directed towards the role of distractors and the calculation of thresholds when using similarities as a proxy for assessing conceptual closeness. Results indicate that learning improves positioning. Distractors are of low value and seem to be replaceable by generic noise to improve threshold calculation. Furthermore, new ways to flexibly calculate thresholds could be identified.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Positioning for Conceptual Development using Latent Semantic Analysis
Title of whole publication Proceedings of the EACL Workshop on GEMS: Geometrical Models of Natural Language Semantics
Editor R. Basili and M. Pennacchiotti
Page from 41
Page to 48
Location Athens
Publisher Association for Computational Linguistics
Year 2009
URL http://www.aclweb.org/anthology/W/W09/W09-0206.pdf


Language Technologies for Lifelong Learning
Wild, Fridolin (Former researcher)
Hoisl, Bernhard (Former researcher)
Burek, Gaston (Universität Tübingen, Germany)
Institute for Information Systems and New Media IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1113 Mathematical statistics (Details)
1133 Computer-aided simulation (Details)
1148 Computational linguistics (Details)
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