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- W138296258 abstract "The bag-of-words model is accepted as the first choice when it comes to representing the content of web documents. It benefits from a low time complexity, but this comes at the cost of ignoring document structure. Obviously, there is a trade-off between the range of document modeling and its computational complexity. In this chapter, we present a model of content and structure learning that tackles this trade-off with a focus on delimiting documents as instances of webgenres. We present and evaluate a two-level algorithm of hypertext zoning that integrates the genre-related classification of web documents with their segmentation. In addition, we present an algorithm of hypertext sounding with respect to the thematic demarcation of web documents." @default.
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- W138296258 date "2011-01-01" @default.
- W138296258 modified "2023-09-25" @default.
- W138296258 title "Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding" @default.
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- W138296258 doi "https://doi.org/10.1007/978-3-642-22613-7_15" @default.
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