This repo contains the implementation of "Deep Feature Fusion Model for Sentence Semantic Matching" in Keras & Tensorflow.

python 3.6
numpy==1.16.4
pandas==0.22.0
tensorboard==1.12.0
tensorflow-gpu==1.12.0
keras==2.2.4
gensim==3.0.0

The dataset is Quora & LCQMC.
"Quora question pairs.", https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs.

"LCQMC: A Large-scale Chinese Question Matching Corpus", https://www.aclweb.org/anthology/C18-1166/.

python siamese_NN.py

If you find our source useful, please consider citing our work.

@article{zhang2019deep,
title={Deep Feature Fusion Model for Sentence Semantic Matching},
author={Zhang, X and Lu, W and Li, F and Peng, X and Zhang, R},
journal={Computers, Materials & Continua},
year={2019},
publisher={Computers, Materials and Continua (Tech Science Press)}
}