使用机器学习和自然语言处理评估描述性答案

T. S. Kumari, Hemant Kumar, S. Ahmed, J.Subha Sree, Josna Sravani
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引用次数: 0

摘要

对描述性论文的评估是一项艰巨的挑战。这需要很多人力。在教育机构中,一个主要的争论是对描述性问题和答案的评估。使用NLP这个描述性答案评估正确答案和学生的答案脚本。如果答案之间的相似度越高,可能会得到更多的分数。使用这种自动评估设备有几个优点,因为它可以减少教师使用资源来纠正描述性论文的时间。考试可以在网上完成,答案现在就可以评估,这将有利于大学,学校和学校的学术目的,使用的资源呈现给高校和考试评估单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Descriptive Answer Using Machine Learning And Natural Language Processing
Assessment of the descriptive paper is a tough challenge. It requires lot of man power. In educational institutions a primary hassle is evaluation of descriptive type questions & answers. Using NLP this descriptive answer assessment proper answers and the pupil answer scripts. More marks is probably awarded, if the similarity withinside the answers is more. There are several advantages of using this automated assessment device as it permits in decreasing the time concerned about the resource of the usage of faculty to correct the descriptive papers. The examinations can be accomplished online, the answers can be evaluated right now and it would be beneficial for universities, schools and schools for academic purpose with the resource of the usage of presenting ease to colleges and the examination evaluation cell.
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