publication . Article . 2012


Abeed Sarker; Diego Mollá; Cecile Paris;
Open Access
  • Published: 01 Sep 2012 Journal: Australasian Medical Journal, volume 5 (eissn: 1836-1935, Copyright policy)
  • Publisher: Scitechnol Biosoft Pvt. Ltd.
Background Evidence Based Medicine (EBM) practice requires practitioners to extract evidence from published medical research when answering clinical queries. Due to the time-consuming nature of this practice, there is a strong motivation for systems that can automatically summarise medical documents and help practitioners find relevant information. Aim The aim of this work is to propose an automatic query-focused, extractive summarisation approach that selects informative sentences from medical documents. MethodWe use a corpus that is specifically designed for summarisation in the EBM domain. We use approximately half the corpus for deriving important statistics...
Persistent Identifiers
free text keywords: Automatic summarisation, Extractive summarisation evidence based medicine, medical document summarisation, Medical documents, Medicine, business.industry, business, Library science, lcsh:Medicine (General), lcsh:R5-920
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