Authors
Ludovic Jean-Louis, Amal Zouaq, Michel Gagnon, Faezeh Ensan
Publication date
2014
Conference
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings 13
Pages
548-560
Publisher
Springer International Publishing
Description
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.
Total citations
201520162017201820192020429344
Scholar articles
L Jean-Louis, A Zouaq, M Gagnon, F Ensan - PRICAI 2014: Trends in Artificial Intelligence: 13th …, 2014