Towards Universal Dense Blocking for Entity Resolution

arXiv:2404.14831v1 Announce Type: cross
Abstract: Blocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approach for exploring deep semantics in blocking. However, previous advanced self-supervised dense blocking approaches require domain-specific training on the target domain, which limits the benefits and rapid adaptation of these methods. To address this issue, we propose UBlocker, a dense blocker that is pre-trained on a domain-independent, easily-obtainable …

abstract advanced arxiv blocking cs.cl cs.db cs.ir development domain emergence however network neural network representation resolution semantics training type universal