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Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components

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hsgodhia/squad_rasor_nn

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Learning Recurrent Span Representations for Extractive Question Answering

https://arxiv.org/abs/1611.01436

Initial setup

$ python setup.py

This will download GloVe word embeddings and tokenize raw training / development data.
(download will be skipped if zipped GloVe file is manually placed in data directory).

Training

$ python train_main.py

Making predictions

$ python predict_main.py

Tested in the following environment:

  • Ubuntu 16.04
  • Python 2.7.13
  • NVIDIA CUDA 7.5 and cuDNN 5.1
  • Pytorch
  • Oracle JDK 8

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Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components

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