Conditional-Random-Fields-CRF

Custom CRF Class for Named Entity Recognition!

Content

• Contains a CRF Util class for saving, loading and opening the input file;
• Contains a CRF Model class for training, predicting and changing parameters for the CRF model from sklearn_crfsuite;
• The CRF model contains a set of ready to use internal features and options for adding external features;

Citation

@inproceedings{sbcas,
 author = {João Vitor de Souza and Yohan  Gumiel and Lucas Emanuel Oliveira and Claudia Maria Moro},
 title = {Named Entity Recognition for Clinical Portuguese Corpus with Conditional Random Fields and Semantic Groups},
 booktitle = {Anais do XIX Simpósio Brasileiro de Computação Aplicada à Saúde},
 location = {Niterói},
 year = {2019},
 keywords = {},
 issn = {2763-8952},
 pages = {318--323},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/sbcas.2019.6269},
 url = {https://sol.sbc.org.br/index.php/sbcas/article/view/6269}
}