Can Neural Networks Automatically Score Essay Traits?

Sandeep Albert Mathias, P. Bhattacharyya
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引用次数: 25

Abstract

Essay traits are attributes of an essay that can help explain how well written (or badly written) the essay is. Examples of traits include Content, Organization, Language, Sentence Fluency, Word Choice, etc. A lot of research in the last decade has dealt with automatic holistic essay scoring - where a machine rates an essay and gives a score for the essay. However, writers need feedback, especially if they want to improve their writing - which is why trait-scoring is important. In this paper, we show how a deep-learning based system can outperform feature-based machine learning systems, as well as a string kernel system in scoring essay traits.
神经网络能自动评分作文特征吗?
论文特征是一篇文章的属性,可以帮助解释这篇文章写得有多好(或写得有多差)。特质的例子包括内容、组织、语言、句子流畅性、用词等。在过去的十年里,很多研究都是关于自动整体论文评分的——机器对一篇文章进行评分并给出分数。然而,作者需要反馈,特别是如果他们想提高自己的写作水平——这就是为什么特质评分很重要。在本文中,我们展示了基于深度学习的系统如何在评分文章特征方面优于基于特征的机器学习系统以及字符串内核系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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