Biomedical natural language processing / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9781461957768
- 1461957761
- 9027271062
- 9789027271068
- 9781306424646
- 130642464X
- Computational linguistics -- Statistical methods
- Natural language processing (Computer science)
- Biometry
- Medical statistics
- Data mining
- Linguistics
- Subject headings
- Natural Language Processing
- Biomedical Research
- Computational Biology -- methods
- Data Mining
- Linguistics
- Vocabulary, Controlled
- Biometry
- Linguistique informatique -- Méthodes statistiques
- Traitement automatique des langues naturelles
- Biométrie
- Exploration de données (Informatique)
- Linguistique
- Vocabulaires contrôlés
- biometrics
- linguistics
- controlled vocabularies
- thesauri
- COMPUTERS -- General
- Biometry
- Computational linguistics -- Statistical methods
- Medical statistics
- Natural language processing (Computer science)
- Biowissenschaften
- Computerlinguistik
- Medizin
- Natürliche Sprache
- Wissenschaftlicher Text
- 006.3/5 23
- P98.5.S83
- 2014 F-240
- W 26.55.A7
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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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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