ABSTRACT
The research in this paper describes a Machine Learning technique called hierarchical text categorization which is used to solve the problem of finding equivalents from among different state and national education standards. The approach is based on a set of manually aligned standards and utilizes the hierarchical structure present in the standards to achieve a more accurate result. Details of this approach and its evaluation are presented.
- Devaul, H. and Kelly, K. Searching by Educational Standards in DLESE: What does it mean and what do users want? Poster at NSDL Annual Mtg, Washington, D.C. 2003.Google Scholar
- Koller, D. and Sahami, M. Hierarchically classifying documents using very few words. 14th International Conference on Machine Learning, Nashville, TN, 1997. Google ScholarDigital Library
- McREL. The McREL home page. Available: http://www.mcrel.org/topics/Standards/. Accessed 5 February 2007. Last updated: unknown.Google Scholar
- Ratvitch, D. National Standards in American Education: A Citizen's Guide. Brookings Institution Press, 1995, 242p.Google Scholar
- Ruiz, M. E. Combining machine learning and hierarchical structures for text categorization. PhD. Thesis. December 2001. Google ScholarDigital Library
- Yang, Y. An Evaluation of Statistical Approaches to Text Categorization. Information Retrieval, Vol. 1, 69--90, 1999. Google ScholarDigital Library
- Yilmazel, O. Empirical Selection of NLP-Driven Document Representations for Text Categorization. Doctoral Dissertation. Syracuse University, 2006. 103p. Google ScholarDigital Library
Index Terms
- Standards alignment for metadata assignment
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