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An end-to-end framework for goal-driven dialogue

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cascadeLSTMDRL

An end-to-end framework demo for goal-driven dialogue

Introduction

It is a tensorflow based implementation of cascaded LSTM network (based Deep Reinforcement Learning) to solve goal-driven dialogue.

The architecture of the model is: cascadeLSTMDRL

Reference

[1] Yue Ma, Xiaojie Wang, Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue

@article{cascadeLSTMDRL,
  title={Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue},
  author={Yue Ma and Xiaojie Wang},
  journal={The Sixth Conference on Natural Language Processing and Chinese Computing, NLPCC 2017},
  year={2017}
}

Requirements:

  • python3
  • numpy
  • tensorflow 0.9.0
  • tqdm

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An end-to-end framework for goal-driven dialogue

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