Provides simple and efficient TensorFlow implementations of neural-network-based NER models using tf.estimator and tf.data APIs. The models achieve state-of-the-art results on standard NER benchmarks using BiLSTM-CRF architecture with character embeddings and GloVe word embeddings. Supports the CoNLL-2003 dataset format for training and evaluation.