Text Categorization for Aligning Educational Standards

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	Similar Articles Articles by Ozgur Yilmazel Articles by Niranjan Balasubramanian Articles by Sarah C. Harwell Articles by Jennifer Bailey Articles by Anne R. Diekema Articles by Elizabeth D. Liddy

40th Annual Hawaii International Conference on System Sciences (HICSS'07)

Text Categorization for Aligning Educational Standards (PDF)

Big Island, Hawaii

January 03-January 06

ISBN: 0-7695-2755-8

	ASCII Text	x
	Ozgur Yilmazel, Niranjan Balasubramanian, Sarah C. Harwell, Jennifer Bailey, Anne R. Diekema, Elizabeth D. Liddy, "Text Categorization for Aligning Educational Standards," Hawaii International Conference on System Sciences, pp. 73b, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007.

	BibTex	x
	@article{ 10.1109/HICSS.2007.517, author = {Ozgur Yilmazel and Niranjan Balasubramanian and Sarah C. Harwell and Jennifer Bailey and Anne R. Diekema and Elizabeth D. Liddy}, title = {Text Categorization for Aligning Educational Standards}, journal ={Hawaii International Conference on System Sciences}, volume = {0}, year = {2007}, issn = {1530-1605}, pages = {73b}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2007.517}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - Text Categorization for Aligning Educational Standards SN - 1530-1605 SP EP A1 - Ozgur Yilmazel, A1 - Niranjan Balasubramanian, A1 - Sarah C. Harwell, A1 - Jennifer Bailey, A1 - Anne R. Diekema, A1 - Elizabeth D. Liddy, PY - 2007 KW - null VL - 0 JA - Hawaii International Conference on System Sciences ER -

Ozgur Yilmazel, Syracuse University

Niranjan Balasubramanian, Syracuse University

Sarah C. Harwell, Syracuse University

Jennifer Bailey, Syracuse University

Anne R. Diekema, Syracuse University

Elizabeth D. Liddy, Syracuse University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2007.517

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.

Citation:

Ozgur Yilmazel, Niranjan Balasubramanian, Sarah C. Harwell, Jennifer Bailey, Anne R. Diekema, Elizabeth D. Liddy, "Text Categorization for Aligning Educational Standards," hicss, pp.73b, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007

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