1 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
Fernando de Meer Pardo, Branka Hadji Misheva, Martin Braschler +1
We present TransClean, a method for detecting false positive predictions of entity matching algorithms under real-world conditions characterized by large-scale, noisy, and unlabele…
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints
Pavel Sulimov, Claude Lehmann, Kurt Stockinger
Query optimization has become a research area where classical algorithms are being challenged by machine learning algorithms. At the same time, recent trends in learned query optim…
GraLMatch: Matching Groups of Entities with Graphs and Language Models
Fernando De Meer Pardo, Claude Lehmann, Dennis Gehrig +5
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originatin…