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.
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.