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license: cc-by-nc-sa-4.0 |
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# How to use |
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This is a model used in the EMNLP 2022 work, "Evaluating the Knowledge Dependency of Questions". <br> |
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We fine-tuned the [xlnet-base](https://huggingface.co/xlnet-base-cased) model on the RACE dataset. <br> |
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Please refer to our publication to check how to use the model to evaluate the question. |
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Code | https://github.com/riiid/question-score |
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Paper preprint | https://arxiv.org/abs/2211.11902 |
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# How to cite |
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``` |
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@inproceedings{moon2022eval, |
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title={Evaluating the Knowledge Dependency of Questions, |
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author={Moon, H., Yang, Y., Shin, J., Yu, H., Lee, S., Jeong, M., Park, J., Kim, M., & Choi, S.}, |
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booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing}, |
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year={2022} |
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} |
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``` |
