用户生成内容中的知识成分检测

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI:10.1109/ISCV49265.2020.9204188

Houda Sekkal, Naila Amrous, S. Bennani

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引用次数: 1

摘要

用户生成内容中的知识可以被提取和挖掘以重用。我们的工作重点是从在线社区中用户生成的内容中提取知识。在本文中，我们提出了一种使用ATM(自动术语识别)从用户生成的内容中提取知识元素的方法。得到的结果表明，该过程在为在线社区成员讨论的问题提取有用的解决方案方面是有效的。

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Knowledge components detection in User-Generated Content

There is knowledge in user generated content that can be extracted and mined to be reused. Our work is focusing on knowledge extraction from user-generated content present in online communities. In this article, we propose an approach to extract elements of knowledge from user-generated content using ATM (Automatic terms recognition). The obtained results show the effectiveness of the process in extracting useful solutions to problems discussed by the online community members.

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来源期刊

2020 International Conference on Intelligent Systems and Computer Vision (ISCV)

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