Cargando…
Improving the CONTES method for normalizing biomedical text entities with concepts from an ontology with (almost) no training data
Entity normalization, or entity linking in the general domain, is an information extraction task that aims to annotate/bind multiple words/expressions in raw text with semantic references, such as concepts of an ontology. An ontology consists minimally of a formally organized vocabulary or hierarchy...
Autores principales: | Ferré, Arnaud, Ba, Mouhamadou, Bossy, Robert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808633/ https://www.ncbi.nlm.nih.gov/pubmed/31307135 http://dx.doi.org/10.5808/GI.2019.17.2.e20 |
Ejemplares similares
-
Gilda: biomedical entity text normalization with machine-learned disambiguation as a service
por: Gyori, Benjamin M, et al.
Publicado: (2022) -
SimText: a text mining framework for interactive analysis and visualization of similarities among biomedical entities
por: Macnee, Marie, et al.
Publicado: (2021) -
FACTA: a text search engine for finding associated biomedical concepts
por: Tsuruoka, Yoshimasa, et al.
Publicado: (2008) -
BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022) -
The Epilepsy Ontology: a community-based ontology tailored for semantic interoperability and text mining
por: Sargsyan, Astghik, et al.
Publicado: (2023)