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Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literature

Python JavaScript Jupyter Notebook Submitted 25 June 2019Published 16 January 2020
Review

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Authors

Albert Steppi (0000-0001-5871-6245), Benjamin M. Gyori (0000-0001-9439-5346), John A. Bachman (0000-0001-6095-2466)

Citation

Steppi et al., (2020). Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literature. Journal of Open Source Software, 5(45), 1708, https://doi.org/10.21105/joss.01708

@article{Steppi2020, doi = {10.21105/joss.01708}, url = {https://doi.org/10.21105/joss.01708}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {45}, pages = {1708}, author = {Albert Steppi and Benjamin M. Gyori and John A. Bachman}, title = {Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literature}, journal = {Journal of Open Source Software} }
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natural language processing text mining named entity disambiguation acronyms Acromine

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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ISSN 2475-9066