Graph-to-Tree Learning for Solving Math Word Problems

PyTorch implementation of Graph based Math Word Problem solver described in our ACL 2020 paper Graph-to-Tree Learning for Solving Math Word Problems. In this work, we propose a solution for Math Word Problem Solving via graph neural network.

Steps to run the experiments

Requirements

• Python 3.6
• >= PyTorch 1.0.0

For more details, please refer to requiremnt file.

Training

[MATH23K]

first get into the math23k directory:

• cd math23k

training-test setting :

• python run_seq2tree_graph.py

cross-validation setting :

• python cross_valid_graph2tree.py

[MAWPS]

cross-validation setting :

• cd mawps
• python cross_valid_mawps.py

Contact

• As I have graduated from my master school, my school email address will be invalid soon. If you have further questions about our work, you can refer to my new email address [email protected].

Reference

@article{zhang2020graph2tree,
  title={Graph-to-Tree Learning for Solving Math Word Problems},
  author={Zhang, Jipeng and Wang, Lei and Lee, Roy Ka-Wei and Bin, Yi and Shao, Jie and Lim, Ee-Peng},
  journal={ACL 2020},
  year={2020}
}