@inproceedings{fcb559d866f145d1bf009da1f8530ad3,
title = "DegExt - A language-independent graph-based keyphrase extractor",
abstract = "In this paper, we introduce DegExt, a graph-based languageindependent keyphrase extractor,which extends the keyword extraction method described in [6]. We compare DegExt with two state-of-the-art approaches to keyphrase extraction: GenEx [11] and TextRank [8]. Our experiments on a collection of benchmark summaries show that DegExt outperforms TextRank and GenEx in terms of precision and area under curve (AUC) for summaries of 15 keyphrases or more at the expense of a non-significant decrease of recall and F-measure. Moreover, DegExt surpasses both GenEx and TextRank in terms of implementation simplicity and computational complexity.",
keywords = "Keyphrase extraction, graph-based document representation, summarization, text mining",
author = "Marina Litvak and Mark Last and Hen Aizenman and Inbal Gobits and Abraham Kandel",
year = "2011",
month = sep,
day = "23",
doi = "10.1007/978-3-642-18029-3_13",
language = "English",
isbn = "9783642180286",
series = "Advances in Intelligent and Soft Computing",
pages = "121--130",
editor = "Elena Mugellini and Maria Sokhn and Piotr Szczepaniak and Pettenati, {Maria Chiara}",
booktitle = "Advances in Intelligent Web Mastering - Proceedings of the 7th Atlantic Web Intelligence Conference, AWIC 2011, Fribourg, Switzerland, January, 2011",
}