Temporal information extraction from clinical text

Julien Tourille (1) , Olivier Ferret (2) , Xavier Tannier (1) , Aurélie Névéol (1)

1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
2 DIASI (CEA, LIST) - Département Intelligence Ambiante et Systèmes Interactifs

In this paper, we present a method for temporal relation extraction from clinical narratives in French and in English. We experiment on two comparable corpora, the MERLOT corpus for French and the THYME corpus for English, and show that a common approach can be used for both languages.

Mots clés: relation extraction; bioNLP

Domaines: Informatique [cs]; Informatique et langage [cs.CL]

Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol. Temporal information extraction from clinical text. Conference of the European Chapter of the Association for Computational Linguistics , Apr 2017, Valence, Spain. ⟨hal-01842460⟩