@inproceedings{ce8ab8438efc4a2e9e1154012d59eb30,
title = "BioSGAN: Protein-phenotype Co-mention classification using semi-supervised generative adversarial networks",
keywords = "Biomedical Relation Extraction, Generative Adversarial Networks, Human Phenotype Ontology, Semi-supervised Learning",
author = "Francis Anokye and Indika Kahanda",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021 ; Conference date: 07-06-2021 Through 09-06-2021",
year = "2021",
month = jun,
doi = "10.1109/CBMS52027.2021.00055",
language = "English",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
pages = "468--473",
editor = "Almeida, {Joao Rafael} and Gonzalez, {Alejandro Rodriguez} and Linlin Shen and Bridget Kane and Agma Traina and Paolo Soda and Oliveira, {Jose Luis}",
booktitle = "Proceedings - 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, CBMS 2021",
}