Biomedical natural language processing /
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 medic...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; Philadelphia :
John Benjamins Publishing Company,
2014.
|
| Series: | Natural language processing ;
v. 11, |
| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
MARC
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| 245 | 0 | 0 | |a Biomedical natural language processing / |c Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication. |
| 264 | 1 | |a Amsterdam ; |a Philadelphia : |b John Benjamins Publishing Company, |c 2014. | |
| 300 | |a 1 online resource | ||
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| 490 | 1 | |a Natural language processing, |x 1567-8202 ; |v v. 11 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | 8 | |a 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 | |
| 546 | |a English. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Computational linguistics |x Statistical methods. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Biometry. | |
| 650 | 0 | |a Medical statistics. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Linguistics. | |
| 650 | 0 | |a Subject headings. | |
| 650 | 1 | 2 | |a Natural Language Processing |
| 650 | 2 | 2 | |a Biomedical Research |
| 650 | 2 | 2 | |a Computational Biology |x methods |
| 650 | 2 | 2 | |a Data Mining |
| 650 | 2 | 2 | |a Linguistics |
| 650 | 2 | 2 | |a Vocabulary, Controlled |
| 650 | 2 | |a Biometry | |
| 655 | 7 | |a Medical statistics. |2 lcgft | |
| 700 | 1 | |a Cohen, Kevin Bretonnel, |e editor. | |
| 700 | 1 | |a Demner-Fushman, Dina, |e editor. | |
| 758 | |i has work: |a Biomedical natural language processing (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGKprgj64m34xDMrkDrQMd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| 830 | 0 | |a Natural language processing ; |v v. 11, |x 1567-8202 | |
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