Comparing noun phrasing techniques for use with medical digital library tools

Comparing noun phrasing techniques for use with medical digital library tools

Source :

• Journal of the American Society for Information Science [ 0002-8231 ] ; 2000.

English descriptors

• Teeft :
  • American society, Anick vaithyanathan, Annual symposium, Automatic indexing, Aznp, Boguraev, Boguraev pustejovski, Brill, Brill tagger, Brown corpus, Cambridge university press, Cancer research results, Cancerlit, Cancerlit collection, Chen, Chopper, Computational linguistics, Computer applications, Concept extraction, Concept space, Concept spaces, Current version, Data collections, Database, Detmer shortliffe, Different domains, Different phrases, Different techniques, Different versions, Digital libraries, Document collection, Document keywords, Document retrieval, Fewer phrases, Free text, Government reports, Great deal, High overlap, Human indexers, Human language technology, Hunting dogs, Indexer, Indexing, Information processing, Information producers, Information providers, Information retrieval, Information retrieval systems, Information science, Information seekers, Information sources, Interface, Interim noun phrases, Interim phrase generation tools, Interim phrases, Internet, Karlsson karttunen, Keyword, Keywords, Lexical, Lexical analysis, Lexical entries, Lexical knowledge, Lexical properties, Lexicon, Longest phrase, Longest phrase generation, Machine understanding group, Medical abstracts, Medical care, Medical domain, Medical goal, Medical information, Medical information retrieval, Medical journal abstracts, Medical professionals, Medical researchers, Medical terminology, Mesh terms, More phrases, National cancer institute, National library, Natural language, Natural language processing, Noun, Noun phrase, Noun phraser, Noun phraser noun phraser, Noun phraser versions, Noun phrasers, Noun phrases, Noun phrasing, Nptool, Nptool auto index, Other phrase generation techniques, Other techniques, Other tools, Overlap analysis, Patient record, Phrase, Phrase generation tools, Phrase output, Phraser, Phrasing, Phrasing tools, Precision comparison, Pustejovski, Query, Query expansion, Query formation, Relevant concepts, Relevant phrases, Research questions, Results show, Retrieval, Salton, Same document, Sample output, Schatz, Science alliance, Search engines, Semantic indexing, Semantic network, Semantic types, Sigir conference, Specialist lexicon, Statistical methods, Stochastic methods, Tagger, Test collection, Text corpora, Text documents, Textual data, Textual unit, Thesaurus, Total number, Training corpus, Umls, Umls knowledge sources, Unbiased estimates, Variance, Vector space representation, Vocabulary problem, Wall street journal.

Abstract

• https://api.istex.fr/ark:/67375/WNG-RRGVX20X-M/fulltext.pdf

Affiliations:

• États-Unis
• Arizona

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