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Feature Generation for Textual Information Retrieval Using World Knowledge
Abstract Imagine an automatic news filtering systemImagine 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.h? Algorithms we present can do just that.
Abstractsub Imagine an automatic news filtering systemImagine 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.h? Algorithms we present can do just that.
Bibtextype phdthesis  +
Has author Evgeniy Gabrilovich +
Has remote mirror http://www.cs.technion.ac.il/~gabr/papers/phd-thesis.pd  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in Technion ?Israel Institute of Technology +
Title Feature Generation for Textual Information Retrieval Using World Knowledge +
Type doctoral thesis  +
Year 2006 +
Creation dateThis property is a special property in this wiki. 20 September 2014 15:24:45  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Doctoral theses  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 20 September 2014 15:24:45  +
DateThis property is a special property in this wiki. 2006  +
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