A hybrid approach to content analysis for automatic essay grading

Carolyn P. Rosé, Antonio Roque, Dumisizwe Bhembe, Kurt VanLehn

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

We present CarmelTC, a novel hybrid text classification approach for automatic essay grading. Our evaluation demonstrates that the hybrid CarmelTC approach outperforms two “bag of words” approaches, namely LSA and a Naive Bayes, as well as a purely symbolic approach.

Original languageEnglish (US)
Pages88-90
Number of pages3
StatePublished - 2003
Event2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003 - Edmonton, Canada
Duration: May 27 2003Jun 1 2003

Conference

Conference2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003
Country/TerritoryCanada
CityEdmonton
Period5/27/036/1/03

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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