Cargando…
Modeling and mining term association for improving biomedical information retrieval performance
BACKGROUND: The growth of the biomedical information requires most information retrieval systems to provide short and specific answers in response to complex user queries. Semantic information in the form of free text that is structured in a way makes it straightforward for humans to read but more d...
Autores principales: | Hu, Qinmin, Huang, Jimmy Xiangji, Hu, Xiaohua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372456/ https://www.ncbi.nlm.nih.gov/pubmed/22901087 http://dx.doi.org/10.1186/1471-2105-13-S9-S2 |
Ejemplares similares
-
A robust approach to optimizing multi-source information for enhancing genomics retrieval performance
por: Hu, Qinmin, et al.
Publicado: (2011) -
A LDA-based approach to promoting ranking diversity for genomics information retrieval
por: Chen, Yan, et al.
Publicado: (2012) -
Promoting ranking diversity for genomics search with relevance-novelty combined model
por: Yin, Xiaoshi, et al.
Publicado: (2011) -
Learning to rank diversified results for biomedical information retrieval from multiple features
por: Wu, Jiajin, et al.
Publicado: (2014) -
Care episode retrieval: distributional semantic models for information retrieval in the clinical domain
por: Moen, Hans, et al.
Publicado: (2015)