PyTorch implementation of Automatic Fact-guided Sentence Modification (AAAI 2020).

This repository implements the split encoder pointer generator module of our method.

The code for the Masker is here.

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Repository cloned and updated from https://github.com/atulkum/pointer_summarizer.

Note:

• It is tested on pytorch 0.4 with python 2.7

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Training the Model:

export PYTHONPATH=`pwd` && python training_ptr_gen/train.py

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Dataset:

The dataset for training this model can be found here https://drive.google.com/open?id=1aOMEUksFpZwJDtQcgsrJ0rjC7nO2J1kr.

(Download and edit the config file to the path of the train, val, test and vocab files.)

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Evaluation:

export PYTHONPATH=`pwd` && python training_ptr_gen/eval.py _path_of_model_checkpoint

This will generate the corresponding outputs for the desired eval file (specified in the validation path).

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If you find this repository helpful, please cite our paper:

@inproceedings{shah2020automatic,
  title={Automatic Fact-guided Sentence Modification},
  author={Darsh J Shah and Tal Schuster and Regina Barzilay},
  booktitle={Association for the Advancement of Artificial Intelligence ({AAAI})},
  year={2020},
  url={https://arxiv.org/pdf/1909.13838.pdf}
}