Cargando…
FGSI: distant supervision for relation extraction method based on fine-grained semantic information
Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph construction. Remote supervised relation extraction...
Autores principales: | Sun, Chenghong, Ji, Weidong, Zhou, Guohui, Guo, Hui, Yin, Zengxiang, Yue, Yuqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462618/ https://www.ncbi.nlm.nih.gov/pubmed/37640843 http://dx.doi.org/10.1038/s41598-023-41354-4 |
Ejemplares similares
-
Validation of FGSI Scores in Predicting Fournier Gangrene in Tertiary Hospital
por: Noegroho, Bambang Sasongko, et al.
Publicado: (2021) -
Distant Supervision for Extractive Question Summarization
por: Ishigaki, Tatsuya, et al.
Publicado: (2020) -
Fine-Grained Semantic Categorization across the Abstract and Concrete Domains
por: Ghio, Marta, et al.
Publicado: (2013) -
Integrating information retrieval with distant supervision for Gene Ontology annotation
por: Zhu, Dongqing, et al.
Publicado: (2014) -
Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods
por: Weissenbacher, Davy, et al.
Publicado: (2017)