XingxingZhang / NeuSum

Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

NeuSum

This repository contains code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

About this code

PyTorch version: This code requires PyTorch v0.3.x.

Python version: This code requires Python3.

How to run

Prepare the dataset and code

Make a folder for the code and data:

NEUSUM_HOME=~/workspace/neusum
mkdir -p $NEUSUM_HOME/code
cd $NEUSUM_HOME/code
git clone --recursive https://github.com/magic282/NeuSum.git

After preparation, the workspace looks like:

neusum
├── code
│   └── NeuSum
│       └── neusum_pt
│           ├── neusum
│           └── PyRouge
└── data
    └── cnndm
        ├── dev
        ├── glove
        ├── models
        └── train

The paper used CNN / Daily Mail dataset.

About the CNN Daily Mail Dataset

About the CNN Daily Mail Dataset 2

Setup the environment

Package Requirements:

nltk numpy pytorch

Warning: Older versions of NLTK have a bug in the PorterStemmer. Therefore, a fresh installation or update of NLTK is recommended.

A Docker image is also provided.

Docker image

docker pull magic282/pytorch:0.3.0

Run training

The file run.sh is an example. Modify it according to your configuration.

Without Docker

bash $NEUSUM_HOME/code/NeuSum/neusum_pt/run.sh $NEUSUM_HOME/data/cnndm $NEUSUM_HOME/code/NeuSum/neusum_pt

With Docker

nvidia-docker run --rm -ti -v $NEUSUM_HOME:/workspace magic282/pytorch:0.3.0

Then inside the docker:

bash code/NeuSum/neusum_pt/run.sh /workspace/data/cnndm /workspace/code/NeuSum/neusum_pt