DEFT 2020 – Extraction d’information fine dans les données cliniques : terminologies spécialisées et graphes de connaissance



DEFT 2020 – Extraction d’information fine dans les données cliniques : terminologies spécialisées et graphes de connaissance
Thomas Lemaitre, Camille Gosset, Mathieu Lafourcade, Namrata Patel and Guilhem Mayoral
This paper presents our rule-based approach for fine-grained information extraction in clinical data, submitted in reponse to Task 3 at the DEFT 2020 evaluation campaign. We design (1) a dedicated medical terminology from existing medical references and (2) a knowledge graph based on the semantically rich knowlege base – JeuxDeMots.