@inproceedings{Checchin-Jacques-Guille:CORIA-TALN-2026:2026,
    author = "Checchin, Thomas and Jacques, Julien and Guille, Adrien",
    title = "Relationship extraction from reports on infectiology cases : experiments on the PARHAF corpus",
    booktitle = "Actes de CORIA-TALN 2026. Actes de l'atelier TAL@Sant\'e",
    month = "6",
    year = "2026",
    address = "Nantes, France",
    publisher = "Association pour le Traitement Automatique des Langues",
    pages = "81-84",
    note = "La t\^ache d{\textquoteright}extraction de relations est fortement d\'ependante de la syntaxe",
    abstract = "The task of relation extraction is highly syntax-dependent. Coding a sentence into the AMR framework, an abstract semantic representation in graph form, establishes the links between the semantic concepts in a sentence. Our work explores the extraction of intra-sentence clinical relations, based on AMR encodings, using simple classifiers. We rely on a new French corpus of clinical reports in infectious diseases, PARHAF, as well as a pre-existing AMR parser.",
    keywords = "Relationship extraction, AMR, medical reports",
    url = "5.pdf"
}