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Unsupervised Bootstrapping of Active Learning for Entity Resolution

Entity resolution is one of the central challenges when integrating data from large numbers of data sources. Active learning for entity resolution aims to learn high-quality matching models while minimizing the human labeling effort by selecting only the most informative record pairs for labeling. M...

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Detalles Bibliográficos
Autores principales: Primpeli, Anna, Bizer, Christian, Keuper, Margret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250605/
http://dx.doi.org/10.1007/978-3-030-49461-2_13