Titlebook: Natural Language Information Retrieval; Tomek Strzalkowski Book 1999 Springer Science+Business Media Dordrecht 1999 DOM.Syntax.classificat

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NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax,ncing example of the potential synergy between full-fledged morphological analysis and local syntactic analysis. Many details are provided on the implementation of the system. Illustrative examples of syntactic transformations for the French language are given together with the theoretical and empirical methods for their formulation.

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1386-291X ne has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa­ tion access has exploded. Emerging applications in computer-assisted infor­ mation production and dissemination, automated understanding of news, und

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Evaluating Natural Language Processing Techniques in Information Retrieval,Research, and its evaluation in a series of Text Retrieval Conferences (TREC) conducted since 1992 under the auspices of the National Institute of Standards and Technology (NIST) and the Defense Advanced Research Projects Agency (DARPA).

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LaSIE Jumps the GATE,inctive features that have led to its good performance in certain areas..Within GATE, we can now reconfigure various Language Engineering modules so as to assemble alternative IE systems and then to compare their performance with LaSIE. In this way the environment provided by GATE will allow us to m

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Book 1999on Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given to