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Towards Automatic Grading of Evidence Abeed Sarker1
 

Summary: Towards Automatic Grading of Evidence
Abeed Sarker1
, Diego Moll´a-Aliod1
, and C´ecile Paris2
1
Centre for Language Technology
Department of Computing, Macquarie University
Sydney, NSW 2109, Australia
{abeed.sarker,diego.molla-aliod}@mq.edu.au,
URL: http://www.clt.mq.edu.au
2
CSIRO ­ ICT Centre,
Locked Bag 17, North Ryde, Sydney, NSW 1670, Australia
cecile.paris@csiro.au
URL: http://www.csiro.au
Abstract. The practice of Evidence Based Medicine requires practi-
tioners to extract evidence from published medical literature and grade
the extracted evidence in terms of quality. With the goal of automating
the time-consuming grading process, we assess the effects of a number of
factors on the grading of the evidence. The factors include the publica-

  

Source: Aliod, Diego Mollá - Department of Computing, Macquarie University

 

Collections: Computer Technologies and Information Sciences