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" Natural Language Information Retrieval "
edited by Tomek Strzalkowski.
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BL
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| Record Number
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734100
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b553926
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| Main Entry
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edited by Tomek Strzalkowski.
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| Title & Author
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Natural Language Information Retrieval\ edited by Tomek Strzalkowski.
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| Publication Statement
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Dordrecht: Springer Netherlands, 1999
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| Series Statement
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Text, speech, and language technology, 7.
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| Page. NO
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(xxv, 384 pages)
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| ISBN
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9401723885
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: 9789401723886
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| Contents
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1 What is the Role of Nlp in Text Retrieval? --;2 NLP For Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax --;3 Combining Corpus Linguistics and Human Memory Models for Automatic Term Association --;4 Using NLP or NLP Resources for Information Retrieval Tasks --;5 Evaluating Natural Language Processing Techniques in Information Retrieval --;6 Stylistic Experiments in Information Retrieval --;7 Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically --;8 LaSIE Jumps the GATE --;9 Phrasal Terms in Real-World IR Applications --;10 Name Recognition and Retrieval Performance --;11 COLLAGE: An NLP Toolset to Support Boolean Retrieval --;12 Document Classification and Routing --;13 Murax: Finding and Organizing Answers from Text Search --;14 The Use of Categories and Clusters for Organizing Retrieval Results.
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| Abstract
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Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.
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| Subject
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Computer science.
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| Subject
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Information storage and retrieval systems.
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Linguistics.
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| Added Entry
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Tomek Strzalkowski
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