Metadata-Version: 2.1
Name: caireCovid
Version: 0.1.3
Summary: system for covid-19.
Home-page: https://github.com/yana-xuyan/caireCovid
Author: Yan Xu
Author-email: yxucb1229@gmail.com
License: UNKNOWN
Description: # caireCovid system
        <img src="img/tensorflow.png" width="12%"> [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        
        <img align="right" src="img/HKUST.jpg" width="15%">
        Kaggle system for covid 19
        
        ## requirements
        <pre>
        tensorflow(-gpu)==1.13.1
        </pre>
        
        ## Install
        You can use our package by install with ```pip```
        ```
        pip install caireCovid
        ```
        ## Question Answering System
        In this system, we build QA modules by a ensemble of two QA models, which are [BioBERT](https://github.com/dmis-lab/bioasq-biobert) model which fine-tuned on SQuAD, and MRQA model which is our submission to MRQA@EMNLP 2019. 
        
        The MRQA model and the exported BioBERT model that are utilized in this project can bo downloaded by this [link](https://drive.google.com/drive/folders/1yjzYN_KCz8uLobqaUddftBGPAZ6uSDDj?usp=sharing).
        
        If you want to use our MRQA model in your work, please cite the following paper. The bibtex is listed below:
        <pre>
        @inproceedings{su2019generalizing,
          title={Generalizing Question Answering System with Pre-trained Language Model Fine-tuning},
          author={Su, Dan and Xu, Yan and Winata, Genta Indra and Xu, Peng and Kim, Hyeondey and Liu, Zihan and Fung, Pascale},
          booktitle={Proceedings of the 2nd Workshop on Machine Reading for Question Answering},
          pages={203--211},
          year={2019}
        }
        </pre>
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
