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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 1120 of 524 papers

TitleStatusHype
Deep Indexed Active Learning for Matching Heterogeneous Entity RepresentationsCode1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text SpottingCode1
Backdoor Attacks on Vision TransformersCode1
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language ModelsCode1
Deep learning for blocking in entity matching: a design space explorationCode1
AltDiffusion: A Multilingual Text-to-Image Diffusion ModelCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent AttentionCode1
Boosting Multi-view Stereo with Late Cost AggregationCode1
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