Cargando…
Data sets for author name disambiguation: an empirical analysis and a new resource
Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. We review the most important data sets used so far, and compare their respective advantages and shortcomings. From the results of this review, we d...
Autores principales: | Müller, Mark-Christoph, Reitz, Florian, Roy, Nicolas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438420/ https://www.ncbi.nlm.nih.gov/pubmed/28596627 http://dx.doi.org/10.1007/s11192-017-2363-5 |
Ejemplares similares
-
Author Name Disambiguation for PubMed
por: Liu, Wanli, et al.
Publicado: (2013) -
Automatic disambiguation of author names in bibliographic repositories
por: Ferreira, Anderson A, et al.
Publicado: (2020) -
Strong Baselines for Author Name Disambiguation with and Without Neural Networks
por: Zhang, Zhenyu, et al.
Publicado: (2020) -
Graph-based methods for Author Name Disambiguation: a survey
por: De Bonis, Michele, et al.
Publicado: (2023) -
Ethnicity‐based name partitioning for author name disambiguation using supervised machine learning
por: Kim, Jinseok, et al.
Publicado: (2021)