A corpus for research in text processing for evidence based medicine.
Evidence based medicine (EBM) urges the medical doctor to incorporate the latest available clinical evidence at point of care. A major stumbling block in the practice of EBM is the difficulty to keep up to date with the clinical advances. In this paper we describe a corpus designed for the developme...
| Publicado en: | Language Resources & Evaluation Vol. 50; no. 4; pp. 705 - 728 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=119384310&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119384310 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2016 vid: 50 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 119384310 10.1007/s10579-015-9327-2 ppf: 705 ppct: 23 formats: fmt: @attributes: type: P size: 4.9MB tig: atl: A corpus for research in text processing for evidence based medicine. aug: au: Mollá, Diego Santiago-Martínez, María Sarker, Abeed Paris, Cécile affil: Department of Computing , Macquarie University , Sydney Australia CSIRO Marsfield , Cnr Vimiera and Pembroke Roads Sydney Australia su: Evidence-based medicine Decision making in clinical medicine Crowdsourcing Text processing (Computer science) Data extraction sug: subj: Evidence-based medicine Decision making in clinical medicine Crowdsourcing Text processing (Computer science) Data extraction keyword: Annotation Corpus Evidence based medicine Text summarization ab: Evidence based medicine (EBM) urges the medical doctor to incorporate the latest available clinical evidence at point of care. A major stumbling block in the practice of EBM is the difficulty to keep up to date with the clinical advances. In this paper we describe a corpus designed for the development and testing of text processing tools for EBM, in particular for tasks related to the extraction and summarisation of answers and corresponding evidence related to a clinical query. The corpus is based on material from the Clinical Inquiries section of The Journal of Family Practice. It was gathered and annotated by a combination of automated information extraction, crowdsourcing tasks, and manual annotation. It has been used for the original summarisation task for which it was designed, as well as for other related tasks such as the appraisal of clinical evidence and the clustering of the results. The corpus is available at SourceForge (). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2016. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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