This repository contains code for the EMNLP-IJCNLP 2019 paper Discourse-aware Semantic Self-Attention for Narrative Reading Comprehension.
@inproceedings{mihaylov-frank-2019-dassa,
title = "Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension",
author = "Mihaylov, Todor and Frank, Anette",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-1257",
doi = "10.18653/v1/D19-1257",
pages = "2541--2552",
}
- Create the
dassaenvironment using Anaconda
conda create -n dassa python=3.6
- Activate the environment
source activate dassa
- Install the requirements in the environment:
pip install -r requirements.txt
Install pytorch that supports cuda8 cuda 8:
pip install torch==0.4.1
Processed narrativeqa data is located in data/ folder. To prepare the data run:
bash data/prepare_data.sh
See TRAIN.md
See EVALUATE.md
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