system for covid-19.
Project description
caireCovid system
Kaggle system for covid 19requirements
tensorflow(-gpu)==1.13.1
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 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.
If you want to use our MRQA model in your work, please cite the following paper. The bibtex is listed below:
@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} }
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
caireCovid-0.1.7.tar.gz
(37.2 kB
view details)
Built Distribution
File details
Details for the file caireCovid-0.1.7.tar.gz
.
File metadata
- Download URL: caireCovid-0.1.7.tar.gz
- Upload date:
- Size: 37.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d49f30aa344a7bf04d68e5e3c7e1cbf4fde29355637ed0733109abac89afbab7 |
|
MD5 | aa6e496e69741caab52cb207086127e7 |
|
BLAKE2b-256 | 68b1ef9c36ecb69e2f8581c7b783b21328c0c2fc323abfc9d28601d32465ce33 |
File details
Details for the file caireCovid-0.1.7-py3-none-any.whl
.
File metadata
- Download URL: caireCovid-0.1.7-py3-none-any.whl
- Upload date:
- Size: 40.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 42767cb7c47451e6a802356d71dcc6bc3a5e7d9b4e4625eacf2fbcc6d8ccaeae |
|
MD5 | ecced7ccabf7afb9cedd7913510132e8 |
|
BLAKE2b-256 | 2998da06a7cea63c6a9eb943f9b961eabcc2a335fd9d0b1834468c71f77e3f7c |