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.