Leveraging active learning to reduce human effort in the generation of ground‐truth for entity resolution-Reference-Cited by-同舟云学术

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Leveraging active learning to reduce human effort in the generation of ground‐truth for entity resolution

Published:2020-05 Issue:2 Volume:36 Page:743-772
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Araújo Diego¹²^ORCID,Santos Pires Carlos Eduardo¹,Cassimiro Nascimento Dimas¹³

Affiliation:

1. Center of Electrical Engineering and InformaticsFederal University of Campina Grande Paraíba Brazil

2. Center of Exact and Applied Social SciencesState University of Paraíba Paraíba Brazil

3. Academic Unit of GaranhunsFederal Rural University of Pernambuco Pernambuco Brazil

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12268

Reference31 articles.

1. An Introduction to Duplicate Detection

2. Data Matching

3. Duplicate Record Detection: A Survey

4. Quality and Complexity Measures for Data Linkage and Deduplication

5. Reach for gold

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step;Data & Knowledge Engineering;2023-05

2. Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors;11th Hellenic Conference on Artificial Intelligence;2020-09

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