This directory contains the following parts of the 'COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion' experiment.

Where can you find the data?

Please find the NSC data splits in data/ folder

Citation

If you make use of the contents of this repository, please cite the following paper:

@inproceedings{paul-frank-2021-coins,
    title = "COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion",
    author = "Paul, Debjit  and Frank, Anette",
    booktitle = Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),
    month = August,
    year = 2021,
    publisher = "Association for Computational Linguistics"
}

Result

Model	BLEU-1
GPT-2 (small)	16.66
T5 (small)	20.67
COINS (GPT-2 small)	22.82

Setting Up the Environment

1. Create the coins environment using Anaconda

   conda create -n coins python=3.6
   

2. Activate the environment

source activate coins

3. Install the requirements in the environment:

pip install -r requirements.txt

Install pytorch that supports cuda8 cuda 8:

pip install torch==0.4.1

## Requirements 
~~~~
python3.8+
pip3 install torch torchvision torchaudio
~~~~

Install the library and dependencies
~~~~
git clone https://github.com/huggingface/transformers
cd transformers
pip install .
pip install -r ./examples/requirements.txt
pip install tensorflow
pip install ftfy==5.1
conda install -c conda-forge spacy
python -m spacy download en
pip install tensorboardX
pip install tqdm
pip install pandas
pip install ipython
~~~~



# Any Issue?
For any questions or issues about this repository, please write to [email protected]