bst-mug / acres

Acronym expansion module based on word embeddings and filtering rules

acres

An acronym expansion module based on word embeddings and filtering rules developed at the Institute for Medical Informatics, Statistics and Documentation at the Medical University of Graz (Austria).

Code documentation is available at the corresponding RTD page.

For additional information, check out Chapter 4 of Michel Oleynik's PhD Thesis on Leveraging Word Embeddings for Biomedical Natural Language Processing.

A preliminary version of this work using n-gram matching for abbreviation expansion is available at https://github.com/bst-mug/abbres.

Citing

If you use data or code in your work, please cite my PhD Thesis:

@phdthesis{oleynik2020leveraging,
  title={Leveraging word embeddings for biomedical natural language processing},
  author={Michel Oleynik},
  school={Medical University of Graz}
  year={2020}
}