Search Results for author: Masaki Uto

Found 2 papers, 0 papers with code

Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory

no code implementations COLING 2022 Takumi Shibata, Masaki Uto

Many AES models based on deep neural networks have been proposed in recent years and have achieved high accuracy, but most of these models are designed to predict only a single overall score.

Automated Essay Scoring Fairness

Neural Automated Essay Scoring Incorporating Handcrafted Features

no code implementations COLING 2020 Masaki Uto, Yikuan Xie, Maomi Ueno

One of the most popular hybrid methods is formulated as a DNN-AES model with an additional recurrent neural network (RNN) that processes a sequence of handcrafted sentence-level features.

Automated Essay Scoring Feature Engineering +1

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