Wen Hua

A Noise-aware Method with Type Constraint Pattern for Neural Relation Extraction

2021 · IEEE Transactions on Knowledge and Data Engineering

Distant supervision is an efficient way to generate large-scale training data for relation extraction without human efforts. However, the accompanying challenges have been plaguing the advance of the extractor: (1) the automatically annotated labels for …

Contrastive Federated Learning with Tabular Data Silos

2024 · arXiv (Cornell University)

Learning from vertical partitioned data silos is challenging due to the segmented nature of data, sample misalignment, and strict privacy concerns. Federated learning has been proposed as a solution. However, sample misalignment across silos often …