This code is remplementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015 in Keras.

This code is adapted from repo. https://github.com/aseveryn/deep-qa.

• python 2.7+
• numpy
• theano/tensorflow
• keras

The pre-initialized word2vec embeddings have to be downloaded from here.

To run the model, first run parsing file

$ python parse.py

Then run

$ python ltr_cnn.py

Currently support for external features (overlapping words from paper) is not supported.

If anyone is interested, let me know, or you are most welcome to send a PR.