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  • × author_ss:"Burke, R.D."
  1. Burke, R.D.: Question answering from frequently asked question files : experiences with the FAQ Finder System (1997) 0.00
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    Abstract
    Describes FAQ Finder, a natural language question-answering system that uses files of frequently asked questions as its knowledge base. Unlike information retrieval approaches that rely on a purely lexical metric of similarity between query and document, FAQ Finder uses a semantic knowledge base (Wordnet) to improve its ability to match question and answer. Includes results from an evaluation of the system's performance and shows that a combination of semantic and statistical techniques works better than any single approach
    Type
    a
  2. Burke, R.D.; Hammond, K.J.; Young, B.C.: ¬The FindMe approach to assisted browsing (1997) 0.00
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    Abstract
    Reports on the development of a system for building data tour guides, called FindMe systems. It uses instance-based browsing, which involves structuring retrieval around the critiquing of previously retrievd examples, and retrieval strategies, or knowledge-based heuristics for finding relevant information, to help users select the perfect car, movie, restaurant, stereo, or apartment on the WWW. Gives examples of working FindMe systems, and describes the similarities and differences between them
    Type
    a