Cargando…
A Cognitive Method for Automatically Retrieving Complex Information on a Large Scale
Modern retrieval systems tend to deteriorate because of their large output of useless and even misleading information, especially for complex search requests on a large scale. Complex information retrieval (IR) tasks requiring multi-hop reasoning need to fuse multiple scattered text across two or mo...
Autores principales: | Wang, Yongyue, Yao, Beitong, Wang, Tianbo, Xia, Chunhe, Zhao, Xianghui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308866/ https://www.ncbi.nlm.nih.gov/pubmed/32481652 http://dx.doi.org/10.3390/s20113057 |
Ejemplares similares
-
Foundations of Large-Scale Multimedia Information Management and Retrieval
por: Chang, Edward Y
Publicado: (2011) -
Regional Conference on Automatic Information Organization and Retrieval
por: Salton, Gerard
Publicado: (1975) -
Large-scale phase retrieval
por: Popescu, Gabriel
Publicado: (2021) -
FedDroidMeter: A Privacy Risk Evaluator for FL-Based Android Malware Classification Systems
por: Jiang, Changnan, et al.
Publicado: (2023) -
Automatically clustering large-scale miRNA sequences: methods and experiments
por: Wan, Linxia, et al.
Publicado: (2012)