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An Assessment of Online Semantic Annotators for the Keyword Extraction Task

机译:在线语义注释器对关键字提取任务的评估

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The task of keyword extraction aims at capturing expressions (or entities) that best represent the main topics of a document. Given the rapid adoption of these online semantic annotators and their contribution to the growth of the Semantic Web, one important task is to assess their quality. This article presents an evaluation of the quality and stability of semantic annotators on domain-specific and open domain corpora. We evaluate five semantic annotators and compare them to two state-of-the-art keyword extractors, namely KP-miner and Maui. Our evaluation demonstrates that semantic annotators are not able to outperform keyword extractors and that annotators perform best on domains having a high keyword density.
机译:关键字提取的任务旨在捕获最能代表文档主要主题的表达式(或实体)。鉴于这些在线语义注释器的迅速采用及其对语义Web增长的贡献,一项重要任务是评估其质量。本文介绍了对特定于域和开放域语料库的语义注释器的质量和稳定性的评估。我们评估了五个语义注释器,并将它们与两个最先进的关键字提取器(即KP-miner和Maui)进行比较。我们的评估表明,语义注释器无法胜过关键字提取器,并且注释器在具有高关键字密度的域上表现最佳。

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