Strzalkowski

Natural Language Information Retrieval - Text, Speech and Language Technology Strzalkowski 1999 edition

Marc Notes: Includes bibliographical references and index. Table of Contents: Preface. Contributing Authors. 1. What is the Role of NLP in Text Retrieval? K. S. Jones. 2. NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax; C. Jacquemin, E. Tzoukermann. 3. Combining Corpus Linguistics and Human Memory Models for Automatic Term Association; G. Ruge. 4. Using NLP or NLP Resources for Information Retrieval Tasks; A. F. Smeaton. 5. Evaluating Natural Language Processing Techniques in Information Retrieval; T. Strzalkowski, et al. 6. Stylistic Experiments in Information Retrieval; J. Karlgren. 7. Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically; E. Riloff, J. Lorenzen. 8. LaSIE Jumps the Gate; Y. Wilks, R. Gaizauskas. 9. Phrasal Terms in Real-World IR Applications; J. Zhou. 10. Name Recognition and Retrieval Performance; P. Thompson, C. Dozier. 11. Collage: An NLP Toolset to Support Boolean Retrieval; J. Cowie. 12. Document Classification and Routing; L. Guthrie, et al. 13. Murax: Finding and Organizing Answers from Text Search; J. Kupiec. 14. The Use of Categories and Clusters for Organizing Retrieval Results; M. Hearst. Index. Publisher Marketing: Natural Language Processing (NLP), hitherto a largely academic discipline, has found itself at the centre of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that has resulted in a new generation of robust tools, systems, and commercial products.