Labelling document using ontology

Naoya Okumura, T. Miura
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Abstract

Recently we can get to huge amount of complex information easily and quickly from internet. But it is hard to capture appropriate information inside since we should go through them and see quickly what's going on. So automatic summarization is indispensable. In this work, assuming concept hierarchy, we extract suitable labels for documents by abstracting and ranking characteristic words.
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最近,我们可以从互联网上轻松快速地获取大量复杂的信息。但是很难在里面捕捉到适当的信息,因为我们必须浏览它们并快速看到发生了什么。所以自动总结是必不可少的。在这项工作中,假设概念层次结构,我们通过抽象和排序特征词来为文档提取合适的标签。
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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