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

Related tags

Deep Learning Improvement-and-Estimation-of-Automated-Scoring-Systems-Performance-with-Guarantees
Overview

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
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Owner
MIDAS, IIIT Delhi
MIDAS Research Laboratory, IIIT-Delhi
MIDAS, IIIT Delhi
GitHub https://arxiv.org/abs/2111.08906
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