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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 401–450 of 524 papers

TitleStatusHype
Destruction of Image Steganography using Generative Adversarial NetworksCode0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links—0
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking DecoderCode2
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers—0
Revisiting the probabilistic method of record linkage—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
RNN based Incremental Online Spoken Language Understanding—0
Boosting Image Recognition with Non-differentiable Constraints—0
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding—0
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumCode0
d-blink: Distributed End-to-End Bayesian Entity ResolutionCode0
SQLR: Short-Term Memory Q-Learning for Elastic Provisioning—0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing—0
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data—0
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding—0
Neural Text Generation with Unlikelihood TrainingCode1
Residual-Guided In-Loop Filter Using Convolution Neural Network—0
Blocking Bandits—0
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn—0
Generalizing from a few environments in safety-critical reinforcement learning—0
Dynamically Stable Matching—0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching—0
Coalitions in Repeated Games—0
Hypothetical answers to continuous queries over data streams—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep LearningCode0
Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model—0
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks—0
Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles—0
A Variable Rate Fronthaul Scheme for Cloud Radio Access Networks (C-RAN)—0
node2bits: Compact Time- and Attribute-aware Node Representations for User StitchingCode0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
Trajectories of Blocked Community Members: Redemption, Recidivism and Departure—0
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image RetrievalCode0
Sitatapatra: Blocking the Transfer of Adversarial Samples—0
Weakly-Supervised Hierarchical Text ClassificationCode0
Facilitating and Blocking Conditions of Haplology: A comparative study of Hong Kong Cantonese and Taiwan Mandarin—0
Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies—0
MIMO Antenna Elements Effect on Chassis Modes—0
Learned Video Compression—0
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine LearningCode0
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation DefensesCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
Probabilistic Blocking with An Application to the Syrian Conflict—0
Detecting DGA domains with recurrent neural networks and side informationCode0
Inhibition in Random Neuronal Networks Enhances Response Variability and Disrupts Stimulus Discrimination—0
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