We present a graph-based semi-supervised label propagation algorithm for acquiring open-domain labeled classes and their instances from a combination of unstructured and structured text sources. This acquisition method significantly improves coverage compared to a previous set of labeled classes and instances derived from free text, while achieving comparable precision.
No takes yet. Share an insight, caveat, or question.
Talukdar et al. (2008) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: