Bootstrapner

This project aims at bootstrapping NER for novel entities using distant supervision. NER architecture is based on the work by Ma and Hovy "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" as well as Lample et al. "Neural Architectures for Named Entity Recognition".