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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 3140 of 524 papers

TitleStatusHype
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge DistillationCode1
Multi-scale Attention Network for Single Image Super-ResolutionCode1
S^2-Transformer for Mask-Aware Hyperspectral Image ReconstructionCode1
Content-aware Scalable Deep Compressed SensingCode1
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and PreparationCode1
NeuralPassthrough: Learned Real-Time View Synthesis for VRCode1
Backdoor Attacks on Vision TransformersCode1
User-controllable Recommendation Against Filter BubblesCode1
AutoFR: Automated Filter Rule Generation for AdblockingCode1
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using LiteralsCode1
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