Posters
Track: Posters
Paper Title:
Web Page Sectioning Using Regex??-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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