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Biomedical natural language processing / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication.

Contributor(s): Material type: TextTextSeries: Natural language processing ; v. 11,Publisher: Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2014Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461957768
  • 1461957761
  • 9027271062
  • 9789027271068
  • 9781306424646
  • 130642464X
Subject(s): Genre/Form: Additional physical formats: Print version:: Biomedical natural language processingDDC classification:
  • 006.3/5 23
LOC classification:
  • P98.5.S83
NLM classification:
  • 2014 F-240
  • W 26.55.A7
Online resources:
Contents:
1. Introduction to natural language processing -- 2. Historical background -- 3. Named entity recognition -- 4. Relation extraction -- 5. Information retrieval/document classification -- 6. Concept normalization -- 7. Ontologies and computational lexical semantics -- 8. Summarization -- 9. Question-answering -- 10. Software engineering -- 11. Corpus construction and annotation -- References -- Index.
Summary: Biomedical Natural Language Processing" is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Print version record.

1. Introduction to natural language processing -- 2. Historical background -- 3. Named entity recognition -- 4. Relation extraction -- 5. Information retrieval/document classification -- 6. Concept normalization -- 7. Ontologies and computational lexical semantics -- 8. Summarization -- 9. Question-answering -- 10. Software engineering -- 11. Corpus construction and annotation -- References -- Index.

Biomedical Natural Language Processing" is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining

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