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Concept Extraction from Student Essays, Towards Concept Map Mining

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2 Author(s)
Villalon, J. ; Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia ; Calvo, R.A.

This paper presents a new approach for automatic concept extraction, using grammatical parsers and Latent Semantic Analysis. The methodology is described, also the tool used to build the benchmarking corpus. The results obtained on student essays shows good inter-rater agreement and promising machine extraction performance. Concept extraction is the first step to automatically extract concept maps from studentpsilas essays or Concept Map Mining.

Published in:

Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on

Date of Conference:

15-17 July 2009