readme: ---
  license: afl-3.0
  ---
  # MWP-BERT
  NAACL 2022 Findings Paper: MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
  
  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mwp-bert-a-strong-baseline-for-math-word/math-word-problem-solving-on-mathqa)](https://paperswithcode.com/sota/math-word-problem-solving-on-mathqa?p=mwp-bert-a-strong-baseline-for-math-word)
  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mwp-bert-a-strong-baseline-for-math-word/math-word-problem-solving-on-math23k)](https://paperswithcode.com/sota/math-word-problem-solving-on-math23k?p=mwp-bert-a-strong-baseline-for-math-word)
  
  Github link: https://github.com/LZhenwen/MWP-BERT/
  
  
  ## Citation
  
  ```
  @inproceedings{liang2022mwp,
    title={MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving},
    author={Liang, Zhenwen and Zhang, Jipeng and Wang, Lei and Qin, Wei and Lan, Yunshi and Shao, Jie and Zhang, Xiangliang},
    booktitle={Findings of NAACL 2022},
    pages={997--1009},
    year={2022}
  }
  ```