MLMC

Code for ACL 2021 Paper Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding.

Packages and Environment

python                    3.7.9 
torch                     1.7.1 
termcolor                 1.1.0 
transformers              4.1.1 
tqdm                      4.55.1

Data

Data is the second version for dataset described in this paper.
All train/dev/test data is split beforehand in JSON format.
Training data is uploaded in zip format because of size limit.

Usage

cd model/CrossModel 
python main.py (with default parameters)

Citation

@inproceedings{cheng2021argument,
  title={Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding},
  author={Cheng, Liying and Wu, Tianyu and Bing, Lidong and Si, Luo},
  booktitle={Proceedings of ACL-IJCNLP},
  year={2021}
}