Graph-based Active Learning for Entity Cluster Repair.

Victor Christen Daniel Obraczka Marvin Hofer Martin Franke Erhard Rahm

Published in: CoRR (2024)

Keyphrases

active learning
semi supervised
clustering algorithm
learning strategies
experimental design
hierarchical clustering
selective sampling
data points

data clustering
unlabeled data
machine learning
entity identification
graph model
labeled data
supervised learning
transfer learning

neural network
knowledge base
label propagation
imbalanced data classification
semi supervised learning
preventive maintenance
learning algorithm

constrained clustering
coreference resolution
training set
learning process
relevance feedback
cluster analysis
named entities