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cs.LG2018
Corresponding Projections for Orphan Screening
Sven Giesselbach, Katrin Ullrich, Michael Kamp +2
We propose a novel transfer learning approach for orphan screening called corresponding projections. In orphan screening the learning task is to predict the binding affinities of c…
cs.LG2018
Making Efficient Use of a Domain Expert's Time in Relation Extraction
Linara Adilova, Sven Giesselbach, Stefan Rüping
Scarcity of labeled data is one of the most frequent problems faced in machine learning. This is particularly true in relation extraction in text mining, where large corpora of tex…