Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations

F Qayyum, H Jamil, N Iqbal, DH Kim, MT Afzal - Scientometrics, 2022 - Springer
Citation analysis-based systems are premised on assuming that all citations are equally
important. The scientific community argues that a citation may hold divergent reasons and …

Towards employing native information in citation function classification

Y Zhang, R Zhao, Y Wang, H Chen, A Mahmood… - Scientometrics, 2022 - Springer
Citations play a fundamental role in supporting authors' contribution claims throughout a
scientific paper. Labelling citation instances with different function labels is indispensable for …

Contextualised segment-wise citation function classification

X Jiang, J Chen - Scientometrics, 2023 - Springer
Much effort has been made in the past decades to citation function classification, but
noteworthy issues exist. Annotation difficulty resulted in limited data size, especially for …

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

A Iqbal, A Shahid, M Roman, T Afzal, M Yahya - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Linguistic perspectives in deciphering citation function classification

M Bertin, I Atanassova - Scientometrics, 2024 - Springer
Understanding citations within their context is a complex task in information science, critical
for bibliometric analysis. The study of citation contexts and their types has been a central …

Multi-task learning model for citation intent classification in scientific publications

R Qi, J Wei, Z Shao, Z Li, H Chen, Y Sun, S Li - Scientometrics, 2023 - Springer
Citations play a significant role in the evaluation of scientific literature and researchers.
Citation intent analysis is essential for academic literature understanding. Meanwhile, it is …

[PDF][PDF] Ensembling Approaches to Citation Function Classification and Important Citation Screening

X Jiang - Scientometrics, 2024 - pure.coventry.ac.uk
Compared to feature engineering, deep learning approaches for citation context analysis
have yet fully leveraged the myriad of design options for modeling in-text citation, citation …

Hybrid Data Augmentation for Citation Function Classification

Y Zhang, Y Wang, QZ Sheng… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
The citation function generally signifies the purpose or reason underlying a citation within a
scholarly paper or a research article. Automatic citation function classification is, therefore, a …

Multi-Label Classification of CS Papers Using Natural Language Processing Models

Z Zhang, A Das, M Rahgouy, Y Bao… - … on Machine Learning …, 2023 - ieeexplore.ieee.org
Computer science (CS) is a rapidly evolving field of knowledge with a significant volume and
significance of scientific papers. Consequently, meticulous management and categorization …

[引用][C] Contextualized Segment-Wise Citation Semantics Analysis