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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Verlagsort
Zielgruppe
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Maße
Höhe: 240 mm
Breite: 160 mm
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ISBN-13
978-90-272-4998-2 (9789027249982)
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Schweitzer Klassifikation
Autor*in
University of Colorado, School of Medicine
National Library of Medicine
1. Acknowledgments; 2. List of figures; 3. 1. Introduction to natural language processing; 4. 2. Historical background; 5. 3. Named entity recognition; 6. 4. Relation extraction; 7. 5. Information retrieval/document classification; 8. 6. Concept normalization; 9. 7. Ontologies and computational lexical semantics; 10. 8. Summarization; 11. 9. Question-answering; 12. 10. Software engineering; 13. 11. Corpus construction and annotation; 14. References; 15. Index