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Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks
The simplistic approach of pairwise attribute comparison fails to harness the wealth of information encapsulated within entities. To address these challenges, we introduce a novel entity matching model, dubbed Entity Matching Model for Capturing Complex Attribute Relationships(EMM-CCAR), built upon pre-trained models.
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