Fei Dong

Automatic Features for Essay Scoring – An Empirical Study

2016

Essay scoring is a complicated processing requiring analyzing, summarizing and judging expertise. Traditional work on essay scoring focused on automatic handcrafted features, which are expensive yet sparse. Neural models offer a way to learn syntactic …

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring

2017

Neural network models have recently been applied to the task of automatic essay scoring, giving promising results. Existing work used recurrent neural networks and convolutional neural networks to model input essays, giving grades based on …

Neural Word Segmentation with Rich Pretraining

2017

Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such as …