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Found 2 papers, 1 papers with code
Learning Informative Representations of Biomedical Relations with Latent Variable Models
In both cases, recent methods have achieved strong results by learning a point estimate to represent the relation; this is then used as the input to a relation classifier.
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns
In this paper, we present a simple and effective method of extracting new facts with a pre-specified binary relationship type from the biomedical literature, without requiring any training data or hand-crafted rules.
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