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Non-Autoregressive Math Word Problem Solver with Unified Tree Structure

// repository documentation

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## Non-Autoregressive Math Word Problem Solver with Unified Tree Structure

This is the offcial repo for the paper "[Non-Autoregressive Math Word Problem Solver with Unified Tree Structure](
http://arxiv.org/abs/2305.04556)".

### Requirements

* Pytorch = 1.13.1;
* You can see the `requirements.txt` in each dictionary, run `pip install -r requirements.txt` to get environment ready.

### Datasets

Before you use the code in `Math23K` dictionary, please download the missing train dataset from this [link](https://pan.baidu.com/s/17t6NZUjDW9MJdi0UzK9TJg?pwd=q61p) and put it in `./Math23K/datasets/`.

### Usage

#### Train
To train our model on Math23K, run:
```
python ./Math23K/main.py --mode train
```
To train our model on MAWPS, run:
```
python ./MAWPS/main_mawps.py
```
#### Test

If you want to load the check points, please make sure you have downloaded the required files:
* [Math23K check points](https://pan.baidu.com/s/1CQgW2mV3Mt7ry6gKIw9j3Q?pwd=28iz)
* [MAWPS check points](https://pan.baidu.com/s/1_tTEemyCXZQ0H4gkFOuqJg?pwd=pzy1)

Please put the check point files(Math23K and MAWPS) in `./Math23K/check_points/` and `./MAWPS/check_points/`.

To use the check points and test the model on Math23K, run:
```
python ./Math23K/main.py --mode test
```
To use the check points and test the model on MAWPS, run:
```
python ./MAWPS/test_mawps.py
```

#### MTree Acc and MTree IoU Evaluation

**MTree Acc** is proposed to solve the problem of mathematical expression variants and alleviate the drawback that Expression Acc underestimates the performance of MWP solvers. **MTree IoU** is proposed to evaluate the partial correctness of the prediction expression obtained by MWP solvers.

In `./Evaluation/` we provide a tool to evaluate **MTree Acc** and **MTree IoU**. You just need to convert *the prediction from your model and groundtruth* into the form shown in `./Evaluation/examples.json`, then run:
```
python ./Evaluation/evaluate.py
```

#### Citation
#
If this repo is helpful to your work, please kindly cite our paper:
```
@inproceedings{DBLP:conf/emnlp/BinHSW0NS23,
  author       = {Yi Bin and
                  Mengqun Han and
                  Wenhao Shi and
                  Lei Wang and
                  Yang Yang and
                  See{-}Kiong Ng and
                  Heng Tao Shen},
  title        = {Non-Autoregressive Math Word Problem Solver with Unified Tree Structure},
  booktitle    = {{EMNLP}},
  pages        = {3290--3301},
  publisher    = {Association for Computational Linguistics},
  year         = {2023}
}
```

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