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We propose a supervised systematic approach for knowledge extraction from verylarge sets of full texts, such as those retrieved by search engines over the world wide web. The proposed model is entirely data-driven and relies only on the actual content of the texts in the selected corpus. We suggest that the relative distance of terms within a text gives sufficient information about its structure and...
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