# MP-CNN PyTorch Implementation

This is a PyTorch implementation of the following paper

* Hua He, Kevin Gimpel, and Jimmy Lin. [Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks](http://aclweb.org/anthology/D/D15/D15-1181.pdf). *Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)*, pages 1576-1586.

The SICK and MSRVID datasets are available in https://github.com/castorini/data, as well as the GloVe word embeddings.

Directory layout should be like this:
```
├── Castor
│   ├── README.md
│   ├── ...
│   └── mp_cnn/
├── data
│   ├── README.md
│   ├── ...
│   ├── msrvid/
│   ├── sick/
│   └── GloVe/
```

To run MP-CNN on the SICK dataset, use the following command:

```
python main.py mpcnn.sick.model.castor --dataset sick --batch-size 32 --epochs 15
```

To run MP-CNN on the MSRVID dataset, use the following command:
```
python main.py mpcnn.msrvid.model.castor --dataset msrvid --batch-size 8 --epochs 30 --epsilon 0.01
```

These are not the optimal hyperparameters but they are decent. This README will be updated with more optimal hyperparameters and results in the future.

To see all options available, use
```
python main.py --help
```