Cargando…
Linking entities through an ontology using word embeddings and syntactic re-ranking
BACKGROUND: Although there is an enormous number of textual resources in the biomedical domain, currently, manually curated resources cover only a small part of the existing knowledge. The vast majority of these information is in unstructured form which contain nonstandard naming conventions. The ta...
Autores principales: | Karadeniz, İlknur, Özgür, Arzucan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437991/ https://www.ncbi.nlm.nih.gov/pubmed/30917789 http://dx.doi.org/10.1186/s12859-019-2678-8 |
Ejemplares similares
-
Literature Mining and Ontology based Analysis of Host-Brucella Gene–Gene Interaction Network
por: Karadeniz, İlknur, et al.
Publicado: (2015) -
Detection and categorization of bacteria habitats using shallow linguistic analysis
por: Karadeniz, İlknur, et al.
Publicado: (2015) -
Automatic query generation using word embeddings for retrieving passages describing experimental methods
por: Aydın, Ferhat, et al.
Publicado: (2017) -
Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature
por: Ruas, Pedro, et al.
Publicado: (2020) -
Using Word Embeddings to Learn a Better Food Ontology
por: Youn, Jason, et al.
Publicado: (2020)