从歧义词到关键概念提取

M. Sajgalík, M. Barla, M. Bieliková
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引用次数: 15

摘要

自动获取给定文档的关键词仍然是一个活跃的研究领域。在本文中,我们考虑从基于关键字的表示转向以关键概念的形式表示文档焦点的其他视角。使用概念而不是简单的单词的好处是,除了单词之外,概念是明确的。这样可以比关键字更好地理解关键概念。提出了一种新的键概念提取方法,为机器加工中键概念的自动获取提供了一种有效的方法。我们评估了我们在分类问题上的方法,将其与基线TF-IDF关键字模型进行比较,并给出了其竞争结果。我们讨论了它在网络上应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Ambiguous Words to Key-Concept Extraction
Automatic acquisition of keywords for given document is still an area of active research. In this paper, we consider shift from keyword-based representation to other perspective on representation of document's focus in form of key-concepts. The advantage of using concepts over simple words is that concepts, apart from words, are unambiguous. This leads to better understanding of key-concepts than keywords. We present novel method of key-concept extraction, which provides an efficient way of automatic acquisition of key-concepts in machine processing. We evaluate our approach on classification problem, where we compare it to baseline TF-IDF keyword model and present its competitive results. We discuss its potential of its utilisation on the Web.
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