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Merge pull request #5 from text-machine-lab/simthyrearch-patch-1
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Update README.rst
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Sim Dy authored Oct 27, 2017
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Expand Up @@ -4,7 +4,7 @@ CliNER

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records. CliNER system is designed to follow best practices in clinical concept extraction, as established in i2b2 2010 shared task.

CliNER is implemented as a sequence classification task, where every token is predicted IOB-style as either: Problem, Test, Treatment, or None. Coomand line flags let you specify two different sequence classification algorithms:
CliNER is implemented as a sequence classification task, where every token is predicted IOB-style as either: Problem, Test, Treatment, or None. Command line flags let you specify two different sequence classification algorithms:
1. CRF (default) - with linguistic and domain-specific features
2. LSTM

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