Ke Li

Enhancing blocking for entity matching with pre-trained language model and masked autoencoder

A novel framework, named Pre-trained language model and Masked Autoencoder (PMAE) is introduced, which leverage a pre-trained language model to extract rich semantic information and incorporates noise into the semantic representations of entities through a dual-branch masking mechanism, to enhance the model’s robustnes...