TY - GEN
T1 - Text categorization for aligning educational standards
AU - Yilmazel, Ozgur
AU - Balasubramanian, Niranjan
AU - Harwell, Sarah C.
AU - Bailey, Jennifer
AU - Diekema, Anne R.
AU - Liddy, Elizabeth D.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=39749145054&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39749145054&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2007.517
DO - 10.1109/HICSS.2007.517
M3 - Conference contribution
AN - SCOPUS:39749145054
SN - 0769527558
SN - 9780769527550
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
T2 - 40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
Y2 - 3 January 2007 through 6 January 2007
ER -