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

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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
  1. Train the model with
python train.py
  1. Evaluate and interact with the model with
python evaluate.py

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

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

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