Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features

Existing unsupervised keyphrase extraction methods typically emphasize the importance of the candidate keyphrase itself, ignoring other important factors such as the influence of uninformative sentences. We hypothesize that the salient sentences of a document are particularly important as they are m...

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Veröffentlicht in:	Information processing & management Jg. 60; H. 4; S. 103356
Hauptverfasser:	Zhang, Zhihao, Liang, Xinnian, Zuo, Yuan, Lin, Chenghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2023
Schlagworte:	Graph-based ranking algorithm Hierarchical Multi-granularity features Unsupervised keyphrase extraction Unsupervised keyphrase extraction Hierarchical Multi-granularity features Graph-based ranking algorithm
ISSN:	0306-4573
Online-Zugang:	Volltext
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