Cargando…
Unsupervised query reduction for efficient yet effective news background linking
In this article, we study efficient techniques to tackle the news background linking problem, in which an online reader seeks background knowledge about a given article to better understand its context. Recently, this problem attracted many researchers, especially in the Text Retrieval Conference (T...
Autores principales: | Essam, Marwa, Elsayed, Tamer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280215/ https://www.ncbi.nlm.nih.gov/pubmed/37346502 http://dx.doi.org/10.7717/peerj-cs.1191 |
Ejemplares similares
-
Utility metric for unsupervised feature selection
por: Villa, Amalia, et al.
Publicado: (2021) -
STTM: an efficient approach to estimating news impact on stock movement direction
por: Riabykh, Aleksei, et al.
Publicado: (2022) -
Matching sensor ontologies with unsupervised neural network with competitive learning
por: Xue, Xingsi, et al.
Publicado: (2021) -
An efficient Equilibrium Optimizer for parameters identification of photovoltaic modules
por: Houssein, Essam H., et al.
Publicado: (2021) -
Background subtraction for night videos
por: Pan, Hongpeng, et al.
Publicado: (2021)