Predicting Evaluations of Essay by Computational Graph-Based Features.

ABSTRACT: How to effectively evaluate students' essays based on a series of relatively objective writing criteria has always been a topic of discussion. With the development of automatic essay scoring, a key question is whether the writing quality can be evaluated systematically based on the scoring rubric. To address this issue, we used an innovative set of graph-based features to predict the quality of Chinese middle school students' essays. These features are divided into four sub-dimensions: basic characteristics, main idea, essay content, and essay development. The results show that graph-based features were significantly better at predicting human essay scores than the baseline features. This indicates that graph-based features can be used to reliably and systematically evaluate the quality of

SUBMITTER: Yang L 

PROVIDER: S-EPMC7689217 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature