Feature Generation for Textual Information Retrieval Using World Knowledge

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Feature Generation for Textual Information Retrieval Using World Knowledge is a 2006 doctoral thesis written in English by Evgeniy Gabrilovich and published in Technion ?Israel Institute of Technology.

[edit] Abstract

Imagine an automatic news filtering system that tracks company news. Given the news item {FDA} approves ciprofloxacin for victims of anthrax inhalation" how can the system know that the drug mentioned is an antibiotic produced by Bayer? Or consider an information professional searching for data on {RFID} technology - how can a computer understand that the item {"Wal-Mart} supply chain goes real time" is relevant for the search? Algorithms we present can do just that.

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