swayam01 / sequence_tagging-ner

Sequence Tagging Model using LSTM + CRF in Tensorflow for NER Multi-Task Learning

sequence_tagging-ner

LSTM + CRF in Tensorflow

Before Starting You need:

1. glove.6B.300d embedding vector
2. IOB label samples

Than:

1. Build vocab from the data and extract trimmed glove vectors.

python build_data.py

2. Train the model with

python train.py

3. Evaluate and interact with the model with

python evaluate.py

Ref: https://guillaumegenthial.github.io/sequence-tagging-with-tensorflow.html