Important citation identification by exploiting the syntactic and contextual information of citations

Citations are not equally important. Researchers presented different models and techniques to identify important citations. However, the features used in these work are relatively limited, so they cannot achieve good recognition performance. This paper proposed a new machine learning framework to di...

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Veröffentlicht in:	Scientometrics 2020-12, Vol.125 (3), p.2109-2129
Hauptverfasser:	Wang, Mingyang, Zhang, Jiaqi, Jiao, Shijia, Zhang, Xiangrong, Zhu, Na, Chen, Guangsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Citations Classification Computer Science Correlation coefficient Correlation coefficients Entropy Information Storage and Retrieval Learning algorithms Library Science Machine learning Polarity Support vector machines
Online-Zugang:	Volltext
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