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...
Main Authors: | , , , , , , , |
---|---|
Format: | |
Language: | English |
Published: |
2007
|
Online Access: | http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:175143 |