Work

SCoNE: a Self-Correcting and Noise-Augmented Method for Biological and Chemical Named Entity Recognition

Year: 2026

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Zhu, Xingyu, Nédellec, Claire, Nagy, Balázs, Vidács, László, Bossy, Robert

Institutions: University of Szeged, Mathématiques et Informatique Appliquées du Génome à l'Environnement

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W7133178030

FWCI:

Cites:

Cited by:

Related to: