Cargando…
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition
SUMMARY: Named entity recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, be highly accurate and be robust toward variations in text genre and style. We present HunFlair, a NER tagger fulfilling thes...
Autores principales: | Weber, Leon, Sänger, Mario, Münchmeyer, Jannes, Habibi, Maryam, Leser, Ulf, Akbik, Alan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428609/ https://www.ncbi.nlm.nih.gov/pubmed/33508086 http://dx.doi.org/10.1093/bioinformatics/btab042 |
Ejemplares similares
-
Correction to: HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition
Publicado: (2023) -
Deep learning with word embeddings improves biomedical named entity recognition
por: Habibi, Maryam, et al.
Publicado: (2017) -
BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022) -
Estimating genome-wide regulatory activity from multi-omics data sets using mathematical optimization
por: Trescher, Saskia, et al.
Publicado: (2017) -
OryzaGP: rice gene and protein dataset for named-entity recognition
por: Larmande, Pierre, et al.
Publicado: (2019)