Mengyi Yan

PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning

Entity resolution is a fundamental problem in data management that aims to identify all duplicate entries within collections of multi-attribute tuples. Most existing works focus on supervised learning, relying on large amounts of high-quality labeled data, including both positive and negative tuple