Work

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

Year: 2026

Type: conference-paper

Abstract: Xingyu Zhu, Claire Nédellec, Balazs Nagy, Laszlo Vidacs, Robert Bossy. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-long.41

Authors: Xingyu Zhu, Claire Nédellec, Balazs Nagy, Laszlo Vidacs, Robert Bossy

Institutions: University of Szeged, Université Paris-Saclay, Institut National de Recherche pour l'Agriculture, l'Alimentation et 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: hybrid

Funders: European Commission, HORIZON EUROPE Framework Programme

Award: G241219258

OpenAlex ID: W7140129265

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