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NER-OUS

Introduction

NER-OUS is a Biomedical NER system utilizing a Bidirectional LSTM-CRF model. It is able to generate models and evaluate or annotate data.

Installation

  1. Install Perl 5.26.X or later
  2. Use cpan or cpanm to install Word2vec::Interface
  3. Run: pip install git+https://github.com/NanoNLP/NER-OUS

Contributors

Use pylint against the google_style.rc file to check your style information. Branch or fork the project and add your code then do a pull request.

Authors

Code used in this system generated by Jeffrey Smith, Evan French, and Bill Cramer.