自动作文评分:对该领域的回顾

P. Lagakis, S. Demetriadis
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引用次数: 11

摘要

本文通过检查所使用的各种系统和方法,批判性地回顾了最近发表的关于自动论文评分(AES)任务的科学文献。自动作文评分是对开放式问题的答案进行自动化评估的过程,通常在教育环境中,通过利用NLP技术,由于其在商业和学习过程中的潜在应用而越来越受到关注。本文的重点是分析最近发表的AES系统中最流行的方法,根据其设计中的某些特征,它们使用的数据集和用于评估它们的评估模式对系统进行分类,最后讨论AES领域的最新趋势和挑战。
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Automated essay scoring: A review of the field
This paper critically reviews the recently published scientific literature on the task of Automated Essay Scoring (AES), by examining the various systems and approaches used. Automated Essay Scoring, which is the process of automating the evaluation of answers to open-ended questions, most usually in educational settings, by utilizing NLP techniques, gathers an increasing amount of interest, due to its potential applications both commercially and as part of the learn-ing process. The focus of this paper is to analyze the most popular approaches in recently published AES systems, categorize the systems with respect to certain characteristics in their design, the datasets that they use and the evaluation schemas that are used to evaluate them, and finally discuss the recent trends and challenges of the field of AES.
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