Victor Bellon, Raul Rodriguez-Esteban. One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text. In Svetla Boytcheva, Kevin Bretonnel Cohen, Guergana Savova, Galia Angelova, editors, Proceedings of the Biomedical NLP Workshop associated with RANLP 2017, Varna, Bulgaria, September 2017. pages 49-54, INCOMA Ltd., 2017. [doi]
@inproceedings{BellonR17,
title = {One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text},
author = {Victor Bellon and Raul Rodriguez-Esteban},
year = {2017},
doi = {10.26615/978-954-452-044-1_007},
url = {https://doi.org/10.26615/978-954-452-044-1_007},
researchr = {https://researchr.org/publication/BellonR17},
cites = {0},
citedby = {0},
pages = {49-54},
booktitle = {Proceedings of the Biomedical NLP Workshop associated with RANLP 2017, Varna, Bulgaria, September 2017},
editor = {Svetla Boytcheva and Kevin Bretonnel Cohen and Guergana Savova and Galia Angelova},
publisher = {INCOMA Ltd.},
}