Title :
Concept Extraction from Student Essays, Towards Concept Map Mining
Author :
Villalon, Jorge ; Calvo, Rafael A.
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
Abstract :
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.
Keywords :
computer aided instruction; grammars; information analysis; automatic concept extraction; concept map mining; concept maps; grammatical parser; interrater agreement; latent semantic analysis; machine extraction performance; student essays; Algorithm design and analysis; Collision mitigation; Coordinate measuring machines; Data mining; Information analysis; Plagiarism; Reflection; Terminology; Visualization; Writing; concept map mining; concept maps; information extraction; text mining;
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location :
Riga
Print_ISBN :
978-0-7695-3711-5
Electronic_ISBN :
978-0-7695-3711-5
DOI :
10.1109/ICALT.2009.215
