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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

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Showing 351–360 of 524 papers

TitleStatusHype
Unsupervised Paraphrasing with Pretrained Language Models—0
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
Boosting Gradient for White-Box Adversarial Attacks—0
Post-Training BatchNorm Recalibration—0
A Framework for Causal Discovery in non-intervenable systems—0
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements—0
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts RemovalCode1
Reforms meet fairness concerns in school and college admissions—0
Potential of proteasome inhibitors to inhibit cytokine storm in critical stage COVID-19 patients—0
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach—0
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