deep-atrous-ner

Utilizing Spacy and Tensorflow to train custom Named Entity Recognizers.

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

ByteNet for character-level language modelling

A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.

a sklearn wrapper for Google's BERT model

Forpy - use Python from Fortran