- version 0.1 - release
A NER to extract occupation mentions in free-text.
This resource is a GATE application. The application can be loaded using the Knowledge-driven-pipeline.xgapp file in the pipeline sub-directory.
The Occupation gazetteer (occupation.lst) can be found in plugins\ANNIE\resources\gazetteer sub-directory.
- The i2b2 model is available in the models sub-directory.
- The Christie CRF model is available on request.
- Tom Liptrot
If you find this resource useful, please cite the following publication:
Azad Dehghan, Tom Liptrot, Daniel Tibble, Matthew Barker-Hewitt, Goran Nenadic. Identification of Occupation Mentions in Clinical Narratives.
Proceedings of the 21th International Conference on Applications of Natural Language to Information Systems (NLDB 2016).
Salford, United Kingdom, June 22-24, 2016.