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Communication Dans Un Congrès Année : 2024

MedDialog-FR: a French Version of the MedDialog Corpus for Multi-label Classification and Response Generation related to Women's Intimate Health

Résumé

This article presents MedDialog-FR, a large publicly available corpus of French medical conversations for the medical domain. Motivated by the lack of French dialogue corpora for data-driven dialogue systems and the paucity of available information related to women's intimate health, we introduce an annotated corpus of question-and-answer dialogues between a real patient and a real doctor concerning women's intimate health. The corpus is composed of about 20,000 dialogues automatically translated from the English version of MedDialog-EN. The corpus test set is composed of 1,400 dialogues that have been manually post-edited and annotated with 22 categories from the UMLS ontology. We also fine-tuned state-of-the-art reference models to automatically perform multi-label classification and response generation to give an initial performance benchmark and highlight the difficulty of the tasks.
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Dates et versions

hal-04534338 , version 1 (08-04-2024)

Identifiants

  • HAL Id : hal-04534338 , version 1

Citer

Xingyu Liu, Vincent Segonne, Aidan Mannion, Didier Schwab, Lorraine Goeuriot, et al.. MedDialog-FR: a French Version of the MedDialog Corpus for Multi-label Classification and Response Generation related to Women's Intimate Health. First Workshop on Patient-Oriented Language Processing @ LREC-COLING, 2024, May 2024, Turin, France. ⟨hal-04534338⟩
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