Awesome

AAPR

• This code is based on: <a href="https://arxiv.org/abs/1805.03977">Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network</a>
• 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)

Citation

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}
}