A case study on experimental-data validation for natural language processing

机译：自然语言处理实验数据验证的案例研究

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摘要

Text data randomly extracted from a particular corpus are usually employed by NLP (Natural language processing) systems as experimental data. However, it is hard to determine whether the experimental data is appropriate without a reasonable validation process. We in this paper describe a data validation approach for a NLP-based e-learning system we have built before.

机译：从特定语料库中随机抽取的文本数据通常被NLP（自然语言处理）系统用作实验数据。但是，如果没有合理的验证过程，很难确定实验数据是否合适。我们在本文中描述了我们之前构建的基于NLP的电子学习系统的数据验证方法。

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来源
《International Conference on Computer Science Education》|2016年|165-168|共4页
会议地点 Nagoya(JP)
作者
Dongli Han; Takahiro Ohno;
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作者单位

Department of Information Science College of Humanities and Sciences Nihon University Tokyo Japan;

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关键词
Natural language processing; Electronic learning; Learning systems; Data mining; Market research; Computer science;

机译：自然语言处理；电子学习；学习系统；数据挖掘;市场调查;计算机科学;

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4. A case study on experimental-data validation for natural language processing [C] . Dongli Han, Takahiro Ohno International Conference on Computer Science and Education . 2016

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A case study on experimental-data validation for natural language processing

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