Semi-Supervised Relation Extraction

Many errors produced by unsupervised and semi-supervised relation extraction (RE) systems occur because of wrong recogni- tion of entities that participate in the rela- tions. This is especially true for …...

Fact collections are mostly built using semi-supervised relation extraction tech- niques and wisdom of the crowds meth- ods, rendering them inherently noisy. In this paper, we propose to validate the …...

We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for …...