
מרק לסט
אקדמי בכיר
DegExt - A language-independent graph-based keyphrase extractor
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