Evaluating word representation features in biomedical named entity recognition tasks.
| Publicado en: | BioMed Research International Vol. 2014; pp. 240403 - 240404 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103817911&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103817911 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2014 vid: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103817911 103817911 2012548097 NLM24729964 PMC3963372 103817911 ppf: 240403 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Evaluating word representation features in biomedical named entity recognition tasks. aug: au: Tang, Buzhou Cao, Hongxin Wang, Xiaolong Chen, Qingcai Xu, Hua affil: Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong 518055, China ; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. sug: subj: Data Mining Methods Medline Natural Language Processing Information Science Methods Semantics Nomenclature Vocabulary, Controlled Algorithms Artificial Intelligence Research, Medical pubtype: Academic Journal doctype: research Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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