Paraphrase detection

The goal of this project is to detect if two sentences are paraphrases.

Done for CSC 485: Natural Language processing at the University of Victoria, taught by Dr. Alona Fyshe.

Usage

1. Install conda (I use miniconda on Linux)

2. Create the python environment

$ conda env create -f env.yml

3. Activate the environment

$ source activate ml
# On Windows: activate ml

3. Change variables in lstm/train.py

You will probably want to change the path variables such as train/test data, and the checkpoint and logging directories.

4. Run jupyter notebook to checkout the notebooks, cd lstm && python train.py to train the RNN. Might wanna change the variables at the top of train.py

5. View logs on tensorboard

$ tensorboard --logdir <path to tensorboard logs>

Methodology

The basic approach:

1. Create vectors from sentences
2. Calculate distance
3. Interperate boundary

The logic behind this is that sentences that are similar are going to have vector representations that are similar.