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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 51–75 of 524 papers

TitleStatusHype
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node ClassificationCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
Deep Indexed Active Learning for Matching Heterogeneous Entity RepresentationsCode1
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text SpottingCode1
ML-CB: Machine Learning Canvas BlockCode0
Augmenting Rule-based DNS Censorship Detection at Scale with Machine LearningCode0
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
A Systematic Approach to Blocking Convolutional Neural NetworksCode0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
Learning to Customize Network Security RulesCode0
Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based ApproachCode0
The dynamic interplay between in-context and in-weight learning in humans and neural networksCode0
A Rule Mining-Based Advanced Persistent Threats Detection SystemCode0
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and DecidabilityCode0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
ISLAND: Interpolating Land Surface Temperature using land coverCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random NetworksCode0
Foundation for unbiased cross-validation of spatio-temporal models for species distribution modelingCode0
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine LearningCode0
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket AugmentationCode0
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
Emergent Complexity via Multi-Agent CompetitionCode0
Effective Model of Loop Extrusion Predicts Chromosomal DomainsCode0
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