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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 26–50 of 524 papers

TitleStatusHype
Road Planning for Slums via Deep Reinforcement LearningCode1
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language ModelsCode1
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using LiteralsCode1
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
DynamicViT: Efficient Vision Transformers with Dynamic Token SparsificationCode1
AutoFR: Automated Filter Rule Generation for AdblockingCode1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
Backdoor Attacks on Vision TransformersCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
Content-aware Scalable Deep Compressed SensingCode1
AltDiffusion: A Multilingual Text-to-Image Diffusion ModelCode1
Deep Indexed Active Learning for Matching Heterogeneous Entity RepresentationsCode1
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node ClassificationCode1
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
Masked Graph Autoencoder with Non-discrete BandwidthsCode1
Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question AnsweringCode1
Multi-scale Attention Network for Single Image Super-ResolutionCode1
Boosting Multi-view Stereo with Late Cost AggregationCode1
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
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelCode1
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