For labeling the newly generated sentences, we used word embeddings as described in (Mikolov et al., 2013).
we used the following setting, mentioned in (Soldaini and Goharian, 2016) as having best performance: Similarity threshold = 0.9, Semantic types = [SignorSymptom, DiseaseorSyndrome, F inding, N eoplastic P rocess] • CRF (Baseline).