Exploiting Contextual Word Embedding for Identification of Important Citations: Incorporating Section-Wise Citation Counts and Metadata Features

Finding relevant research papers can be a challenging task due to the enormous number of scientific publications released each year. Recently, the scientific community has been diving deep into citation analysis, specifically examining the content of papers to identify more crucial documents. Citati...

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Principais autores:	Arshad Iqbal, Abdul Shahid, Muhammad Roman, Muhammad Tanvir Afzal, Muhammad Yahya
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Access
נושאים:	Citation context analysis metadata Information retrieval convolutional neural networks (CNNs) deep learning convolutional neural network gated recurrent units (GRUs) word embedding
גישה מקוונת:	https://ieeexplore.ieee.org/document/10265274/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!