Trove is a research framework for building weakly supervised (bio)medical named entity recognition (NER) and other entity attribute classifiers without hand-labeled training data.
ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhin et al., 2020).