query tuning based on natural language processing

    using Special procedures for treating proper noun
    names for organizations, products, locations, etc.

    retaining and using word pairs occurring only once in
    documents

    stemming the documents and queries

    doing indirect document frequency (IDE) or entropy
    weighting on words and using these to weight query
    pairs

    computing additional weights based on shortest paths.

            ACKNOWLEDGEMENTS

   The author is grateful for the contributions of the
following University of Illinois at Chicago faculty, students,
and staff to this project: John Andrews, Robert Goldstein,
Alan Hinds, Nainesh Khimasia, Jin Hong Meng, Stephen
Roy, Gary Singer, Anand Sundaram, George Yanos, and
Clement Yu.

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