Semi-Supervised Teacher-Student Architecture for Relation Extraction

WS 2019 Fan LuoAjay NageshRebecca SharpMihai Surdeanu

Generating a large amount of training data for information extraction (IE) is either costly (if annotations are created manually), or runs the risk of introducing noisy instances (if distant supervision is used). On the other hand, semi-supervised learning (SSL) is a cost-efficient solution to combat lack of training data... (read more)

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