Concept Extraction from Student Essays, Towards Concept Map Mining
Jorge Villalón, Rafael A. Calvo · 2009
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.