Skip to content

midas-research/Improvement-and-Estimation-of-Automated-Scoring-Systems-Performance-with-Guarantees

main
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees

Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees" (https://arxiv.org/abs/2111.08906)

If you use the code in this repository, please cite the work as:

@misc{singla2021using,
      title={Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees}, 
      author={Yaman Kumar Singla and Sriram Krishna and Rajiv Ratn Shah and Changyou Chen},
      year={2021},
      eprint={2111.08906},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Setup

# Create a virtual environment
python -m venv env
source env/bin/activate

pip install -r requirements.txt

python main.py

About

Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages