Papers by Masaki Uto
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory (2022.coling-1)
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| Challenge: | Essay exams have two drawbacks in that grading them is expensive and raises questions about fairness. |
| Approach: | They propose to use a multidimensional item response theory model to improve interpretability while maintaining scoring accuracy. |
| Outcome: | The proposed model improves interpretability while maintaining accuracy while preserving cost and accuracy. |
Neural Automated Essay Scoring Incorporating Handcrafted Features (2020.coling-main)
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| Challenge: | Automated essay scoring (AES) relies on handcrafted features, but recent studies have proposed a hybrid method that integrates handcrafted essay-level features into a DNN-AES model. |
| Approach: | They propose a method that integrates handcrafted features into a DNN-AES model. |
| Outcome: | The proposed method significantly improves the accuracy of existing methods. |