A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies
In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
Deep context of citations using machine-learning models in scholarly full-text articles
Abstract Information retrieval systems for scholarly literature rely heavily not only on text
matching but on semantic-and context-based features. Readers nowadays are deeply …
matching but on semantic-and context-based features. Readers nowadays are deeply …
Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)
The large scale of scholarly publications poses a challenge for scholars in information
seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural …
seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural …
[PDF][PDF] Studying Uncertainty in Science: a distributional analysis through the IMRaD structure
Uncertainty in science is an integral part of the research process and an important element
of discovery. We propose to study the expression of uncertainty in research papers in two …
of discovery. We propose to study the expression of uncertainty in research papers in two …
Artificial intelligence as a support for librarians who buy scientific documents: what factor do they take into account?
M Allal - Journal of Positive School Psychology, 2022 - journalppw.com
With the arrival of advanced technologies, the search for good documentation has become a
very sophisticated practice in terms of tools and methods. In this context, a librarian seeks to …
very sophisticated practice in terms of tools and methods. In this context, a librarian seeks to …
Review of Automatic Citation Classification Based on Machine Learning
Z Zhichao - Data Analysis and Knowledge Discovery, 2022 - manu44.magtech.com.cn
[Objective] This paper summarizes the application of natural language processing and
machine learning technology in automatic citation classification.[Coverage] We searched …
machine learning technology in automatic citation classification.[Coverage] We searched …
Relevancy Prediction of Scientific Articles Using Similarity Measures and Citation Mention Rate
KK Win, YY Hlaing - 2024 IEEE Conference on Computer …, 2024 - ieeexplore.ieee.org
To guarantee that scientific areas continue to evolve effectively, it is important to
acknowledge the scientific contribution of earlier research work. Citations play a vital part in …
acknowledge the scientific contribution of earlier research work. Citations play a vital part in …
[PDF][PDF] Deep Context of Citations Using Machine-Learning Models in Scholarly Full-text Articles
SU Hassana, M Imrana, S Iqbala, NR Aljohanib… - e-space.mmu.ac.uk
Abstract Information retrieval systems for scholarly literature rely heavily not only on text
matching but on semantic-and context-based features. Readers nowadays are deeply …
matching but on semantic-and context-based features. Readers nowadays are deeply …