基于支持向量法的中文简答评分系统

NLP-TEA@ACL Pub Date : 2018-07-01 DOI:10.18653/v1/W18-3718

Shih-Hung Wu, Wen-Feng Shih

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引用次数: 5

摘要

在本文中，我们报道了一个中文简答评分系统。我们建立了一个基于标准机器学习方法的系统，并使用两个公开可用的英语语料库的翻译语料库进行测试。实验结果表明，在两种不同语料库上的结果与英语相似。

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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A Short Answer Grading System in Chinese by Support Vector Approach

In this paper, we report a short answer grading system in Chinese. We build a system based on standard machine learning approaches and test it with translated corpus from two publicly available corpus in English. The experiment results show similar results on two different corpus as in English.

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NLP-TEA@ACL

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