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Combining word embeddings to extract chemical and drug entities in biomedical literature.

Pilar López-ÚbedaManuel Carlos Díaz-GalianoL Alfonso Ureña-LópezM Teresa Martín-Valdivia
Published in: BMC bioinformatics (2021)
On the one hand, the combination of word embeddings helps to improve the recognition of chemicals and drugs in the biomedical literature. We achieved results of 91.41% for precision, 90.14% for recall, and 90.77% for F1-score using micro-averaging. On the other hand, our indexing system achieves a 92.67% F1-score, 92.44% for recall, and 92.91% for precision. With these results in a final ranking, we would be in the first position.
Keyphrases
  • systematic review
  • oxidative stress
  • adverse drug
  • electronic health record