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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 251260 of 524 papers

TitleStatusHype
Constrained Deployment Optimization in Integrated Access and Backhaul Networks0
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains0
Dynamically meeting performance objectives for multiple services on a service mesh0
Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning ApproachCode0
Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings0
Calibrating Sequence likelihood Improves Conditional Language Generation0
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models0
Virtual Control Group: Measuring Hidden Performance Metrics0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir0
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