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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Assessment of Online Semantic Annotators for the Keyword Extraction Task
verfasst von : Ludovic Jean-Louis, Amal Zouaq, Michel Gagnon, Faezeh Ensan
Erschienen in: PRICAI 2014: Trends in Artificial Intelligence
Verlag: Springer International Publishing
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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.