Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction
This repository provides the official TensorFlow implementation of the research paper Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction (Accepted by [Knowledge-Based Systems 2020]).
- tensorflow-gpu >= 1.5.0
- Glove
- Elmo
python config.py --mode prepro
python config.py --mode train
python config.py --mode test
EM | F1 | |
---|---|---|
Dev 1.1 | 73.9 | 82.4 |
Test 1.1 | 75.4 | 83.4 |
AddSent | 58.3 | 65.5 |
AddOneSent | 65.2 | 72.5 |
If you extend or use this work, please cite the relevant papers:
@article{DBLP:journals/kbs/WuX20,
author = {Zhijing Wu and
Hua Xu},
title = {Improving the robustness of machine reading comprehension model with
hierarchical knowledge and auxiliary unanswerability prediction},
journal = {Knowledge-Based Systems},
volume = {203},
pages = {106075},
year = {2020},
}
@inproceedings{DBLP:conf/aaai/WuX20,
author = {Zhijing Wu and
Hua Xu},
title = {A Multi-Task Learning Machine Reading Comprehension Model for Noisy
Document (Student Abstract)},
booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence 2020},
pages = {13963--13964},
year = {2020},
}