Biomedical natural language processing

Biomedical natural language processing

by Cohen, Kevin Bretonnel Demner-Fushman, Dina

Type Book
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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 computatio…

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Title Statements

  • Full title :Biomedical natural language processing / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center forBiomedical Communication.

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 inbiomedical natural language processing and text mining.

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Edition Statements

  • Publication Date:2014.

Publication Statements

The Physical Object

  • Description:1 ressource en ligne.

Edition Identifiers

  • ISBN:130642464X, 1461957761, 9027271062, 9781306424646, 9781461957768, 9789027271068
  • oclc:on1348873459
  • LC Classification:P98.5.S83
  • Dewey Decimal:006.3/5

Table of 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 andannotation -- References -- Index.

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