Word Sense Disambiguation in the Biomedical Domain: Short Literature Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35248-5_23
Reference39 articles.
1. Huang, L., Sun, C., Qiu, X., Huang, X.: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (2020). https://github.com/HSLCY/GlossBERT
2. Al-Mubaid, H., Gungu, S.: A learning-based approach for biomedical word sense disambiguation. In: The Scientific World J. 2012, 8 pages (2012). https://doi.org/10.1100/2012/949247
3. Navigli, R.: Word sense disambiguation: a survey. In: ACM Reference Format, Volume 41, issue 10, 69 pages (2009). https://doi.org/10.1145/1459352.1459355
4. Johnson, A.E.W., et al.: Data Descriptor: MIMIC-III, a freely accessible critical care database (2016). https://doi.org/10.1038/sdata.2016.35, www.nature.com/sdata/
5. Jimeno-Yepes, A.J., Mcinnes, B.T., Aronson, A.R.: Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation (2011). https://doi.org/10.1186/1471-2105-12-223
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