sehoi / keras-cnn-qa

Keras (re)implementation of paper "Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015"

Intro

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.

Depdendencies

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

Embeddings

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

Steps to run

To run the model, first run parsing file

$ python parse.py

Then run

$ python ltr_cnn.py

TO-DO

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.