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101 0 $aeng
135   $aur|n|---|||||
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182   $cc
183   $acr
200 00$aBiomedical natural language processing /$fKevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication
210  1$aAmsterdam :$cJ. Benjamins Publishing Company,$d[2014]
210  4$d©2014
215   $a1 online resource (172 p.)
225 1 $aNatural Language Processing,$x1567-8202 ;$vvolume 11
300   $aDescription based upon print version of record.
311   $a90-272-4997-0 
320   $aIncludes bibliographical references and index.
327   $a""Biomedical Natural Language Processing""; ""Editorial page ""; ""Title page ""; ""LCC data ""; ""Acknowledgments""; ""Table of contents""; ""List of figures""; ""1. Introduction to natural language processing""; ""1.1 Some definitions ""; ""1.1.1 Computational linguistics ""; ""1.1.2 Natural language processing ""; ""1.1.3 Text mining ""; ""1.1.4 Usage of these definitions in practice ""; ""1.2 Levels of document and linguistic structure and their relationship toA? natural language processin""; ""1.2.1 Document structure ""; ""1.2.2 Sentences ""; ""1.2.3 Tokens ""
327   $a""1.2.4 Stems and lemmata """"1.2.5 Part of speech ""; ""1.2.6 Syntactic structure ""; ""1.2.7 Semantics ""; ""2. Historical background""; ""2.1 Early work in the medical domain ""; ""2.2 The emergence of the biological domain ""; ""2.3 Clinical text mining ""; ""2.4 Types of users of biomedical NLP systems ""; ""2.5 Resources and tools ""; ""US National Library of Medicine ""; ""MEDLINE database ""; ""Medical Subject Headings ""; ""PubMed ""; ""GENIA ""; ""PubMed Central International ""; ""2.6 Legal and ethical issues ""; ""2.7 Is biomedical natural language processing effective? ""
327   $a""3. Named entity recognition""""3.1 Overview ""; ""3.2 The crucial role of named entity recognition in BioNLP tasks ""; ""3.3 Why gene names are the way they are ""; ""3.4 An example of a rule-based gene NER system: KeX/PROPER ""; ""3.5 An example of a statistical disease NER system ""; ""3.6 Evaluation ""; ""4. Relation extraction""; ""4.1 Introduction ""; ""4.1.1 Protein-protein interactions as an information extraction target ""; ""4.2 Binarity of most biomedical information extraction systems ""; ""4.3 Beyond simple binary relations ""; ""4.4 Rule-based systems ""
327   $a""4.4.1 Co-occurrence """"4.4.2 Example rule-based systems ""; ""4.4.3 Machine learning systems ""; ""4.5 Relations in clinical narrative ""; ""4.5.1 MedLEE ""; ""4.6 SemRep ""; ""4.6.1 NegEX ""; ""4.7 Evaluation ""; ""5. Information retrieval/document classification""; ""5.1 Background ""; ""5.1.1 Growth in the biomedical literature ""; ""5.1.2 PubMed/MEDLINE ""; ""5.2 Issues ""; ""5.3 A knowledge-based system that disambiguates gene names ""; ""5.4 A phrase-based search engine, with term and concept expansion andA? probabilistic relevance rankin""; ""5.5 Full text ""
327   $a""5.6 Image and figure search """"5.7 Captions ""; ""5.7.1 Evaluation ""; ""6. Concept normalization""; ""6.1 Gene normalization ""; ""6.1.1 The BioCreative definition of the gene normalization task ""; ""6.2 Building a successful gene normalization system ""; ""6.2.1 Coordination and ranges ""; ""6.2.2 An example system ""; ""6.3 Normalization and extraction of clinically pertinent terms ""; ""6.3.1 MetaMap UMLS mapping tools ""; ""7. Ontologies and computational lexical semantics""; ""7.1 Unified Medical Language System (UMLS) ""; ""7.1.1 The Gene Ontology ""
327   $a""7.2 Recognizing ontology terms in text ""
410  0$aNatural language processing ;$v11.
606   $aComputational linguistics$xStatistical methods
606   $aNatural language processing (Computer science)
606   $aBiometry
606   $aMedical statistics
608   $aElectronic books.
615  0$aComputational linguistics$xStatistical methods.
615  0$aNatural language processing (Computer science)
615  0$aBiometry.
615  0$aMedical statistics.
676   $a006.3/5
701   $aCohen$b Kevin Bretonnel$0965195
701   $aDemner-Fushman$b Dina$0965196
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910464950903321
996   $aBiomedical natural language processing$92189774
997   $aUNINA