CNN的中文简答评分系统

Shih-Hung Wu, Chun-Yu Yeh
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引用次数: 3

摘要

简答题是各种学习水平的常见测试类型。然而,在网上用简答题测试学生并不常见,因为自动简答题评分并不容易。在本文中,我们报告了一个基于深度学习模型CNN的简答评分系统。我们在两个汉语语料库上对该系统进行了测试。第一个是翻译自一个公共可用的英语语料库。我们还自己策划了一个语料库。我们在两个数据集上都得到了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Short Answer Grading System in Chinese by CNN
Short answer question is a common type of test in various level of learning. However, it is not common to test students with the short answer questions online, since automatic short answer grading is not easy. In this paper, we report a short answer grading system based on deep learning model CNN. We test the system on two corpus in Chinese. The first one is translated from a public available corpus in English. We also curate a corpus by ourselves. We get promising result on both data set.
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