ActiveEA: Active Learning for Neural Entity Alignment.
Bing LiuHarrisen ScellsGuido ZucconWen HuaGenghong ZhaoPublished in: CoRR (2021)
Keyphrases
- active learning
- network architecture
- random sampling
- neural network
- learning strategies
- image alignment
- selective sampling
- learning algorithm
- cost sensitive
- unlabeled data
- named entities
- learning process
- pool based active learning
- training examples
- training set
- bio inspired
- sample selection
- procrustes analysis
- entity identification
- annotation effort
- neural fuzzy
- crowd sourced
- imbalanced data classification
- neural model
- machine learning
- dynamic time warping
- labeled data
- relevance feedback
- semi supervised
- information extraction
- knowledge base
- associative memory
- transfer learning
- active learning strategies
- support vector
- feature selection
- nonlinear predictive control