Concept Extraction from Student Essays, Towards Concept Map Mining

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 machin...

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Main Authors: Villalon, J., Calvo, R.A.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Collision mitigation
concept map mining
concept maps
Coordinate measuring machines
Data mining
Information analysis
information extraction
Plagiarism
Reflection
Terminology
text mining
Visualization
Writing
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Calvo, R.A.
description 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.
doi_str_mv 10.1109/ICALT.2009.215
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subjects Algorithm design and analysis
Collision mitigation
concept map mining
concept maps
Coordinate measuring machines
Data mining
Information analysis
information extraction
Plagiarism
Reflection
Terminology
text mining
Visualization
Writing
title Concept Extraction from Student Essays, Towards Concept Map Mining
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