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.
BibTeX
Abstract
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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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 |
Associations
- Projects
- Language Technologies for Lifelong Learning
- People
- Wild, Fridolin (Former researcher)
- Hoisl, Bernhard (Former researcher)
- External
- Burek, Gaston (Universität Tübingen, Germany)
- Organization
- 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)