מרק לסט

אקדמי בכיר

DegExt - A language-independent graph-based keyphrase extractor

Marina Litvak, Mark Last, Hen Aizenman, Inbal Gobits, Abraham Kandel

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.

שפת פרסום אנגלית
דפים 121-130
סטטוס פרסום פורסם - 23.09.2011

Keywords

Keyphrase extraction
graph-based document representation
summarization
text mining

ASJC Scopus subject areas

General Computer Science
גישה למסמך
10.1007/978-3-642-18029-3_13
קבצים וקישורים אחרים
Link to publication in Scopus