Automatic Prediction of Semantic Labels for French Medical Terms

Thierry Hamon (1, 2, 3) , Natalia Grabar (4)

1 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
2 UP13 - Université Paris 13
3 STL - Sciences et Technologies des Langues - LISN
4 STL - Savoirs, Textes, Langage (STL) - UMR 8163

We address the problem of semantic labeling of terms in two French medical corpora with the subset of the UMLS. We perform two experiments relying on the structure of words and terms, and on their context: 1) the semantic label of already identified terms is predicted; 2) the terms are detected in raw texts and their semantic label is predicted. Our results show over 0.90 F-measure.

Mots clés: Semantic labeling; NLP; Machine learning; Terminology; French

Domaines: Informatique [cs]

Thierry Hamon, Natalia Grabar. Automatic Prediction of Semantic Labels for French Medical Terms. Medical Informatics Europe conference (MIE2022), May 2022, Nice, France. pp.868-869, ⟨10.3233/SHTI220610⟩. ⟨hal-04519905⟩