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Natural Language Technology in Precision Content Retrieval
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Author(s):
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Jacek Ambroziak and William A. Woods
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Report Number:
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Date Published:
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Available Formats:
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TR-98-69
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December 1998
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Portable Document Format (PDF)
Postscript (PS)
Request Hard Copy
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| Abstract |
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This paper describes a new approach to information access that combines techniques from
natural language processing and knowledge representation with a new technique for relevance
estimation and passage retrieval. Unlike many attempts to combine natural language processing
with information retrieval, these results show significant benefit from using linguistic
knowledge. Subsumption technology is used to automatically integrate syntactic, semantic, and
morphological relationships among concepts that occur in the material, and to organize them
into a structured conceptual taxonomy that is efficiently usable by retrieval algorithms and
also effective for browsing.
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