• Classification ensemble to improve medical named entity recognition 

      Keretna, Sara; Lim, Chee Peng; Creighton, Doug; Shaban, Khaled Bashir ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...
    • Enhancing medical named entity recognition with an extended segment representation technique 

      Keretna, Sara; Lim, Chee Peng; Creighton, Doug; Shaban, Khaled Bashir ( Elsevier , 2015 , Article)
      Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ...