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Track: Posters

Paper Title:
Web Page Sectioning Using Regex�1�7-based Template

Authors:

Rupesh R. Mehta(Yahoo! R&D)
Amit Madaan(Yahoo! R&D)

Abstract:
This work aims to provide a novel, site-specific web page segmentation and section importance detection algorithm, which leverages structural, content, and visual information. The structural and content information is leveraged via template, a generalized regular expression learnt over set of pages. The template along with visual information results into high sectioning accuracy. The experimental results demonstrate the effectiveness of the approach.

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