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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 5160 of 524 papers

TitleStatusHype
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts RemovalCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
Neural Text Generation with Unlikelihood TrainingCode1
An introduction to Causal Modelling0
Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate ModelsCode0
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences0
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier0
The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation0
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