This is a tensorflow implementation of paper

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

I study code from these people

cnn-text-classification-tf

pair-cnn-ranking

gan-for-qa

the embedding can be download from :

https://github.com/aseveryn/deep-qa

Requirements

-python2.7

-Tensorflow = 1.1

-gensim

-numpy

Training

./train.py

now the result is silly because i don't add the overlap features

and i don't think the similarity layer promote the result

data	map	mrr
trec	0.65	0.65
wiki(clean)	0.658	0.67

i will add overlap soon

when a add overlap feature as embedding

we can get the result

data	map	mrr
trec	0.747	0.74
wiki(clean)	0.687	0.708