kihyunwon / dynamic-coattention-network

Tensorflow implementation of Dynamic Coattention Networks for Question Answering.

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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 r0.11
  • spaCy 1.2.0

Data

Retrieve json training files from SQuAD.

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

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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Tensorflow implementation of Dynamic Coattention Networks for Question Answering.

License:MIT License


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