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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

Showing 151160 of 524 papers

TitleStatusHype
Covariance Blocking and Whitening Method for Successive Relative Transfer Function Vector Estimation in Multi-Speaker Scenarios0
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
End-to-end Story Plot Generator0
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing0
RBF Weighted Hyper-Involution for RGB-D Object Detection0
A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent AttentionCode1
ISLAND: Interpolating Land Surface Temperature using land coverCode0
CNN Injected Transformer for Image Exposure CorrectionCode0
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization0
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