Combining word embeddings to extract chemical and drug entities in biomedical literature
Abstract Background Natural language processing (NLP) and text mining technologies for the extraction and indexing of chemical and drug entities are key to improving the access and integration of information from unstructured data such as biomedical literature. Methods In this paper we evaluate two...
| Published in: | BMC Bioinformatics |
|---|---|
| Main Authors: | Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-12-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-04188-3 |
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