Automatic Syllabus Classification

Syllabi are important educational resources. However, searching for a syllabus on the Web using a generic search engine is an errorprone process and often yields too many non-relevant links. In this paper, we present a syllabus classifier to filter noise out from search results. We discuss various s...

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Bibliographic Details
Main Authors: Yu, Xiaoyan, Tungare, Manas, Fan, Weiguo, Perez-Quinones, Manuel, Fox, Edward, Cameron, William, Teng, GuoFang, Cassel, Lillian
Format: Villanova Faculty Authorship
Language:English
Published: 2007
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:175143