Code for WWW 2019 paper: "Joint Entity Linking with Deep Reinforcement Learning"
This project is based on python>=3.6
. The dependent package for this project is listed as below:
tensorflow>=1.8.0
scikit-learn==0.21.3
xgboost==0.9
1.Extract statistical features
python model/local_feature.py
2.Calculate xgboost score and filter candidate
python model/xgboost_rank.py
3.Train local LSTM model
python model/local_model.py
4.Rank mention
python model/local_ranker.py
5.Train global LSTM model
python model/global_model.py
6.Train policy model
python model/policy_model.py