tf_CFO

Tensorflow implementation of CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

Requirement

• python >= 3.5
• tensorflow >= 1.4
• pickle
• numpy
• gensim
• nltk
• fuzzywuzzy

Preprocessing

Goto data_preprocess directory and run the scripts (might take some time):

1. fetch dataset

   sh fetch.sh

   Update: For those who are blocked, here's the link of BaiduYunPan to download the dataset: https://pan.baidu.com/s/1RBFQHuQDHuuESu4fGkmeMw (password: 6mpi)

2. preprocess data

   sh preprocess.sh

Training

• The QA system consists of 3 components: entity detection, relation network and subject network.
• Goto corresponding directory and refer to README.md to finish training and testing.

Inference

Goto inference folder and refer to README.md to get test result.

Reference

• https://github.com/castorini/BuboQA
• https://github.com/ZichaoHuang/TransE
• https://github.com/zihangdai/cfo

Download processed data

Processed data are also available, feel free to download: https://pan.baidu.com/s/1M_674aselMx8LtLagr0AcQ (password：azen)