This directory contains the following parts of the 'COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion' experiment.
Please find the NSC data splits in data/ folder
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"
}| Model | BLEU-1 |
|---|---|
| GPT-2 (small) | 16.66 |
| T5 (small) | 20.67 |
| COINS (GPT-2 small) | 22.82 |
-
Create the
coinsenvironment using Anacondaconda create -n coins python=3.6 -
Activate the environment
source activate coins
- 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 paul@cl.uni-heidelberg.de