Question-Answering is a classical problem in natural language processing, which aims at designing systems that can automatically answer a question, in the same way as human does.
In this repo, I implemented end-to-end neural networks model which aims to answer questions from a given passage.
HUMAN PERFORMANCE
- EM: 86.831
- F1: 89.452
- DrQA
- BiDAF
- QANet
- RNet
- [0] Chen, D., Bolton, J., & Manning, C. D. (2016). A thorough examination of the cnn/daily mail reading comprehension task. arXiv preprint arXiv:1606.02858.
- [1] Chen, D., Fisch, A., Weston, J., & Bordes, A. (2017). Reading wikipedia to answer open-domain questions. arXiv preprint arXiv:1704.00051.