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Siamese Network Question Pair Classifier

This classifier was built to compete in the Applied Machine Learning course UvA 2017 Kaggle Project: Identifying Quora Question Pairs, which was used to achieve the 2nd rank in the course internal leaderboard.

Usage

All pieces of the pipeline are written in several iPython notebooks all located in the /notebooks/ directory. Below graphic indicates how to run the notebooks to fully run a training or test cycle. Please make sure that the data files are named correspondingly.

Pipeline

pipeline

Data

All data is placed in ./data/ test and training data is best named train_labels.csv, train_data.csv, and test_data.csv. This way all the notebooks can easily be trained or tested on different data, ensuring a consistent file naming.

Training

The main piece that would need training is the Siamese LSTM network, to train it run the /notebooks/lstm_train.ipynb notebook. Otherwise we already trained a few models with varying hyperparameters and architectures, which you can load with the load_model method found in helpers.py.

Requirements

  • run pip install -r pip-requirements.txt in the projects directory
  • download gloVe embeddings and place the file glove.6B.300d.txt in projects directory
  • if not installed, please run python -m spacy download en and python -m spacy download en_core_web_lg to install spaCy english corpus and word embeddings