GALVEZ, Carmen. Recognizing and annotating generic drug names in biomedical literature. []. , 23, 4, pp.326-345. ISSN 1024-9435.

This paper proposes a system for identification and annotation of generic drug names in biomedical texts based on finite-state models. The proposed procedure uses naming rules for generic drugs, recommended by the United States Adoptated Names (USAN) Council, allow the classification of drugs in drug families, and linguistic engine based on finite-state techniques. Through a graphical interface, we have built analyzers able to identify to identify, classify and assign annotations to generic drug names, using affixes recommended by USAN. The evaluation corpus consists of 256 Medline abstracts. The system achieves a 99.8% precision and 92% recall. The combination of rules USAN and finite-state technology is an effective procedure for the detection, classification and tagging of generic drug names.

: generic drugs; drug naming; biomedical named entities; drug-drug interactions.