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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
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length PredictionCode1
A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent AttentionCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
AltDiffusion: A Multilingual Text-to-Image Diffusion ModelCode1
Backdoor Attacks on Vision TransformersCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
DynamicViT: Efficient Vision Transformers with Dynamic Token SparsificationCode1
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