Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations
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 …
important. The scientific community argues that a citation may hold divergent reasons and …
Towards employing native information in citation function classification
Citations play a fundamental role in supporting authors' contribution claims throughout a
scientific paper. Labelling citation instances with different function labels is indispensable for …
scientific paper. Labelling citation instances with different function labels is indispensable for …
Contextualised segment-wise citation function classification
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 …
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
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 …
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 …
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 …
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 …
have yet fully leveraged the myriad of design options for modeling in-text citation, citation …
Hybrid Data Augmentation for Citation Function Classification
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 …
scholarly paper or a research article. Automatic citation function classification is, therefore, a …
Multi-Label Classification of CS Papers Using Natural Language Processing Models
Computer science (CS) is a rapidly evolving field of knowledge with a significant volume and
significance of scientific papers. Consequently, meticulous management and categorization …
significance of scientific papers. Consequently, meticulous management and categorization …