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Using Ontology-based Information Extraction for Subject-basedudAuto-grading

机译:将基于本体的信息提取用于基于主题的 ud自动分级

摘要

The procedure for the grading of students’ essays in subject-based examinations is quite challengingudparticularly when dealing with large number of students. Hence, several automatic essay-grading systemsudhave been designed to alleviate the demands of manual subject grading. However, relatively few of theudexisting systems are able to give informative feedbacks that are based on elaborate domain knowledge toudstudents, particularly in subject-based automatic grading where domain knowledge is a major factor. In thisudwork, we discuss the vision of subject-based automatic essay scoring system that leverages on semiautomaticudcreation of subject ontology, uses ontology-based information extraction approach to enableudautomatic essay scoring, and gives informative feedback to students.
机译:在基于主题的考试中对学生论文进行评分的程序非常具有挑战性,尤其是在与大量学生打交道时。因此,已经设计了几种自动论文评分系统来减轻手动主题评分的需求。但是,相对较少的 uxuxisting系统能够向学生提供基于详尽的领域知识的信息反馈,尤其是在基于学科的自动评分中,其中领域知识是主要因素。在本文中,我们讨论了基于主题的自动作文评分系统的愿景,该系统利用主题本体的半自动/增量化,使用基于本体的信息提取方法来实现对文章的自动评分,并向学生提供信息反馈。

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