This book discusses the state of art automated essay scoring, its challenges and potential. One earliest applications artificial intelligence to language data (along with machine translation speech recognition), scoring has evolved become both a revenue-generating industry vast field research, many subfields connections other NLP tasks. In this book, we review developments in against backdrop E...

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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 a single vector representation of the essay. On the other hand, the relative advantages of RNNs and CNNs have not been compared. In addition, different parts...

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 and semantic features automatically, which can potentially improve upon discrete features. In this paper, we employ convolutional neural network ...