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Abstract: this paper we will discuss some of the more important representational issues for wrapper learners, focusing on the specific problem of extracting text from web pages. We argue that pure DOM- or token-based representations of web pages are inadequate for the purpose of learning wrappers (Update)
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BibTeX entry: (Update)
William Cohen, Matthew Hurst, and Lee S. Jensen. A flexible learning system for wrapping tables and lists in html documents. In The Eleventh International World Wide Web Conference WWW-2002, 2002. http://citeseer.ist.psu.edu/cohen02flexible.html More
@misc{ cohen02flexible,
author = "W. Cohen and M. Hurst and L. Jensen",
title = "A flexible learning system for wrapping tables and lists in html documents",
text = "William Cohen, Matthew Hurst, and Lee S. Jensen. A flexible learning system
for wrapping tables and lists in html documents. In The Eleventh International
World Wide Web Conference WWW-2002, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/cohen02flexible.html" }
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15 Learning page-independent heuristics for extracting data fro.. - Cohen, Fan - 1999
13 A structured wrapper induction system for extracting informa.. - Jensen, Cohen - 2001
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