基于文本-数据的半自动领域模型构建

2011 Sixth International Workshop on Semantic Media Adaptation and Personalization Pub Date : 2011-12-01 DOI:10.1109/SMAP.2011.18

Petr Šaloun, Zdenek Velart, Petr Klimanek

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引用次数: 4

摘要

我们的研究重点是基于自然语言文本的半自动领域模型构建。本文讨论了工作范围的定义，并描述了领域模型创建及其表示的方法。我们描述了自然语言处理的背景，重点介绍了该学科中经常解决的任务，并列出了一些适用于语义层面文本处理的免费工具。我们引入适当的工具和设计方法来实现既定的目标。最后进行了实验，验证了所实现方法的有效性，并提出了进一步发展的建议和思考。

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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Semiautomatic Domain Model Building from Text-Data

Our research is focused on semiautomatic domain model building from texts written in a natural language. The paper deals with defining the scope of the work and describes approaches of domain model creation and its representation. We describe the context of natural language processing focused on selected frequently solved tasks in this discipline and list some freely available tools suitable for text processing at the semantic level. We introduce appropriate tools and design methods to achieve determined goals. At the end of the paper, an experiment is conducted on which the successes of the implemented methods is verified, and suggestions and considerations for further development are presented.

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2011 Sixth International Workshop on Semantic Media Adaptation and Personalization

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