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...

Celý popis

Podrobná bibliografia

Vydané v:	Information processing & management Ročník 60; číslo 4; s. 103356
Hlavní autori:	Zhang, Zhihao, Liang, Xinnian, Zuo, Yuan, Lin, Chenghua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!