Holdings: Automatic Syllabus Classification :: Digital Library@Villanova University

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...

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

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

The Digital Library strives to provide access to its collections and resources to the Villanova University community and the global community of scholars, subject to any intellectual property or other restrictions on use. Certain materials, such as historical documents, handwritten materials, and foreign language materials, present unique accessibility challenges and formatting limitations. If you are experiencing difficulties in accessing, viewing, or navigating the Digital Library, please contact us at digitallibrary@villanova.edu or 610.519.5271.

Automatic Syllabus Classification

Internet

Accessibility

Automatic Syllabus Classification

Internet

Similar Items

Accessibility