An empirical study on harmonizing classification precision using IE patterns

Web pages are conventionally represented by the words found within the contents for classification purpose. However, word-based web page representation suffers several limitations such as synonymy and homonymy. Motivated by the limitations of word-based representation, we explore the potential of representing web pages using information extraction patterns, in addition to words that are identified within the web contents. In this paper, we share the results as well as the findings learned from our experiments. Our empirical study conducted using WebKB dataset indicates that the addition of information extraction patterns in web page representation helps to improve the classification precision, especially in the categories which have much diversified web content.

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