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Dynamic Coattention Networks For Question Answering

Tensorflow implementaion of Dynamic Coattention Networks.

This repo contains work on progress.

Requirements

  • Python 3.5.2
  • TensorFlow
  • spaCy 1.2.0
  • NLTK

Data

Retrieve json training files from SQuAD.

dataset.py contains code to create a dataset and vocab for training network.

python3 dataset.py --command create_dataset --input data/train-v1.1.json --output data/train.bin,data/validation.bin --split 0.2,0.8
python3 dataset.py --command create_vocab --input data/train-v1.1.json --output data/vocab

Training the network

In order to train the network, execute

python main.py --mode train

Credit

Modified codes are originally from textsum.

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Watchers

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