Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo

Publication Citation: Natural Language Processing and Information Retrieval

NIST Authors in Bold

Author(s): Ellen M. Voorhees;
Title: Natural Language Processing and Information Retrieval
Published: July 13, 1999
Abstract: Information retrieval addresses the problem of finding those documents whose content matches a user's request from among a large collection of documents. Currently, the most successful general purpose retrieval methodsare statistical methods that treat text as little more than a bag of words. However, attempts to improve retrieval performance through more sophisticated linguistic processing have been largely unsuccessful. Indeed, unless done carefully, such processing can degrade retrieval effectiveness.Several factors contribute to the difficulty of improving on a good statistical baseline including: the forgiving nature but broad coverage of the typical retrieval task; the lack of good weighting schemes for compound index terms; and the implicit linguistic processing inherent in the statistical methods. Natural language processing techniques may be more important for related tasks such as question answering or document summarization.
Citation: Summer School on Information Extraction
Keywords: information retrieval,natural language processing,text retrieval
Research Areas:
PDF version: PDF Document Click here to retrieve PDF version of paper (208KB)