Biomedical natural language processing / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication
Published
Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2014
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