Skip to content

Latest commit

 

History

History
14 lines (12 loc) · 699 Bytes

README.md

File metadata and controls

14 lines (12 loc) · 699 Bytes

A Topic-Attention Model for Medical Term Abbreviation Disambiguation

This repo is the implementation of A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. A workshop paper at Machine Learning for Health(ML4H) at NeurIPS 2019.

Check the sample data and source code.

If you find this repo helpful, please cite using:

@article{li2019neural,
 author = {Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı, Cesar Caraballo, Shiwani Mahajan, Harlan Krumholz, Dragomir Radev },
 title = {A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation},
 journal={arXiv preprint arXiv:1910.14076},
 year = {2019}
}