Optimization of Window Size for Calculating Semantic Coherence Within an Essay

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kshitiz Srivastava, Namrata Dhanda, Anurag Shrivastava
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引用次数: 1

Abstract

Over the last fifty years, as the field of automated essay evaluation has progressed, several ways have been offered. The three aspects of style, substance, and semantics are the primary focus of automated essay evaluation. The style and content attributes have received the most attention, while the semantics attribute has received less attention. A smaller fraction of the essay (window) is chosen to measure semantics, and the essay is broken into smaller portions using this window. The goal of this work is to determine an acceptable window size for measuring semantic coherence between different parts of the essay with more precision.
计算文章语义连贯的窗口大小优化
在过去的五十年里,随着自动论文评估领域的发展,已经提供了几种方法。文体、内容和语义三个方面是自动论文评估的主要焦点。样式和内容属性受到的关注最多,而语义属性受到的关注较少。选择一小部分文章(窗口)来测量语义,并使用该窗口将文章分成更小的部分。这项工作的目标是确定一个可接受的窗口大小,以更精确地测量文章不同部分之间的语义一致性。
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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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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