Graph-based Active Learning for Entity Cluster Repair.
Victor ChristenDaniel ObraczkaMarvin HoferMartin FrankeErhard RahmPublished 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