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TensorFlow implementation of the "Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering" paper by Alibaba.

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RahulSChand/Multi-Granularity-Hierarchical-Attention-Fusion-Networks-for-Question-Answering---TensorFlow

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This is a open source TensorFlow implementation for "Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering" paper by Alibaba for Squad dataset.

  1. To train the network run the following command python main.py --experiment_name=baseline --mode=train
  2. For inference run the following command python main.py --experiment_name=baseline --mode=show_examples
  3. For running in Manual question and answer mode run the following command python main.py --experiment_name=baseline --mode=compare

Note: this code is adapted in part from the Final Project (SQuAD) for CS224n, Winter 2018

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TensorFlow implementation of the "Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering" paper by Alibaba.

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