Automatic keyphrase extraction using word embeddings

Unsupervised random-walk keyphrase extraction models mainly rely on global structural information of the word graph, with nodes representing candidate words and edges capturing the co-occurrence information between candidate words. However, using word embedding method to integrate multiple kinds of...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2020-04, Vol.24 (8), p.5593-5608
Hauptverfasser:	Zhang, Yuxiang, Liu, Huan, Wang, Suge, Ip, W. H., Fan, Wei, Xiao, Chunjing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Control Datasets Embedding Engineering Focus Graph theory Graphical representations Information retrieval Mathematical Logic and Foundations Mechatronics Natural language processing Ranking Robotics Scoring models
Online-Zugang:	Volltext
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