自动作文评分系统与语法评分分析

Aniket Ajit Tambe, Manasi Kulkarni
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引用次数: 0

摘要

自动作文评分系统是一个系统,处理评分手写的文章没有任何人为干预。在这个领域所做的大多数研究都涉及到使用词嵌入将一篇文章的数字表示直接映射到它的黄金分数,而没有任何具体的特征评分。因此,本研究旨在使用最新的上下文文本嵌入即BERT嵌入对文章进行数值表示,并将文章的评分分为两个模块:结构评分模块,根据文章的结构对文章进行评分;语法评分模块,根据文章的语法正确性对文章进行评分。为了评估所提出的模型,使用二次加权Kappa评分。在此实现中,获得了结构分数0.75和语法分数0.70的QWK分数。本研究及其具体的特征评分可以作为未来实施更详细的特征评分任务的基础,并通过考虑更多的语法案例来扩大语法评分的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Essay Scoring System with Grammar Score Analysis
An Automated Essay Scoring System is a system that deals with grading Hand written essays without any human intervention. Most of the research done in this field involves direct mapping of an essay’s numerical representation, using word embedding, to its golden score, without any specific trait scoring. So, this research aims to use latest contextual Text Embedding i.e., BERT Embedding for numerical representation of Essay and granulate the scoring of essay into two modules: structure scoring module which deals with scoring essay on the basis of its structure and grammar scoring module, which deals with scoring essay on the basis of its grammatical correctness. To evaluate the proposed model, Quadratic Weighted Kappa Score is used. In this implementation, a QWK score of 0.75 for Structure score and 0.70 for Grammar Score has been obtained. This research and its specific trait scoring can be used as base for future implementation with more detailed feature specific scoring tasks and improve the scope of grammar scoring by considering more grammatical cases.
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