SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment
IJCNN（2024）
关键词
Active Learning,Entity Alignment,Semantic Information,Benchmark Datasets,Real-world Scenarios,Real-world Datasets,Language Model,Named Entity Recognition,Pairwise Model,Limited Scenarios,Structural Embeddedness,Entity Pairs,Fine-tuning Strategy,Limited Supervision,Loss Function,Training Data,Structural Information,Negative Samples,Training Procedure,Graph Structure,Graph Convolutional Network,Aligned Pairs,Target Entity,Training Pairs,Training Iterations,Entity Information,DBpedia,Embedding Learning,Penalty Function,Group II
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