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TextNet: A deep neural network framework for text matching

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TextNet

TextNet is a deep neural netwrok framework for text matching tasks.

Quick Start

  1. Make a copy of Makefile.config.example.
cp Makefile.config.example Makefile.config
  1. Setting the environment path in Makefile.config.

  2. Compile it!

mkdir bin
make all -j 16
  1. Wirte you own network config file in json. You can find examples in Textnet Model.

  2. Run!

./bin/textnet [model_file]

Features

Dependences

Version

v1.0

Related Projects

Acknowledgements

The following people contributed to the development of the TextNet project:

  • Liang Pang
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • Google Scholar
  • Sengxian Wan
    • Institute of Computing Technolgy, Chinese Academy of Sciences
  • Yixing Fan
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • Google Scholar
  • Yanyan Lan
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • HomePage
  • Jiafeng Guo
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • HomePage
  • Jun Xu
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • HomePage
  • Xueqi Cheng
    • Institute of Computing Technolgy, Chinese Academy of Sciences
    • HomePage

About

TextNet: A deep neural network framework for text matching


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Language:C++ 77.2%Language:Python 22.5%Language:Makefile 0.2%Language:Cuda 0.1%Language:Shell 0.0%