Classification ensemble to improve medical Named Entity Recognition

@article{Keretna2014ClassificationET,
  title={Classification ensemble to improve medical Named Entity Recognition},
  author={Sara Keretna and Chee Peng Lim and Douglas C. Creighton and Khaled Bashir Shaban},
  journal={2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2014},
  pages={2630-2636}
}
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 medical text. Specifically, Conditional Random Field (CRF) and Maximum Entropy (ME) classifiers are applied individually to the test data… CONTINUE READING