Text Categorization for Aligning Educational Standards

  • Authors:
  • Ozgur Yilmazel;Niranjan Balasubramanian;Sarah C. Harwell;Jennifer Bailey;Anne R. Diekema;Elizabeth D. Liddy

  • Affiliations:
  • Syracuse University;Syracuse University;Syracuse University;Syracuse University;Syracuse University;Syracuse University

  • Venue:
  • HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
  • Year:
  • 2007

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Abstract

Standard alignment (where standards describing similar concepts are correlated) is a necessary task in providing full access to educational resources. Manual alignment is time consuming and expensive. We propose an automatic alignment system, using machine learning techniques utilizing natural language processing. In this paper we discuss our experiments on text categorization for automatic alignment. We explore the role of relevant vocabulary sets in automatic alignment.