Automated Disambiguation of Acronyms and Abbreviations in Clinical Texts: Window and Training Size Considerations

@article{Moon2012AutomatedDO,
  title={Automated Disambiguation of Acronyms and Abbreviations in Clinical Texts: Window and Training Size Considerations},
  author={Sungrim Moon and Serguei V. S. Pakhomov and Genevieve B. Melton},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
  year={2012},
  volume={2012},
  pages={1310-9}
}
Acronyms and abbreviations within electronic clinical texts are widespread and often associated with multiple senses. Automated acronym sense disambiguation (WSD), a task of assigning the context-appropriate sense to ambiguous clinical acronyms and abbreviations, represents an active problem for medical natural language processing (NLP) systems. In this paper, fifty clinical acronyms and abbreviations with 500 samples each were studied using supervised machine-learning techniques (Support… CONTINUE READING
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