- This code is based on: Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network
- The dataset for the AAPR task is available at https://drive.google.com/open?id=1ttKdXUjaFi3eS6zeHITuZjsTGrh6M4ij
- For the AAPR dataset, you can process the latex source data in your own way (e.g. considering the number of formulas or charts). The script clean_latex.py provides an optional way of initial rough processing.
- If there is any problem, please contact Pengcheng Yang (yang_pc@pku.edu.cn)
If you use the code or the dataset for your research, please cite the paper:
@inproceedings{YangACL2018,
author = {Pengcheng Yang and
Xu Sun and
Wei Li and
Shuming Ma},
title = {Automatic Academic Paper Rating Based on Modularized Hierarchical
Convolutional Neural Network},
booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational
Linguistics, {ACL} 2018, Melbourne, Australia, July 15-20, 2018, Volume
2: Short Papers},
pages = {496--502},
year = {2018}
}