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Author name disambiguation literature review with consolidated meta-analytic approach
Name ambiguity is a common problem in many bibliographic repositories affecting data
integrity and validity. This article presents an author name disambiguation (AND) literature …
integrity and validity. This article presents an author name disambiguation (AND) literature …
zbMATH Open: API solutions and research challenges
M Petrera, D Trautwein, I Beckenbach, D Ehsani… - arxiv preprint arxiv …, 2021 - arxiv.org
We present zbMATH Open, the most comprehensive collection of reviews and bibliographic
metadata of scholarly literature in mathematics. Besides our website https://zbMATH. org …
metadata of scholarly literature in mathematics. Besides our website https://zbMATH. org …
S2and: A benchmark and evaluation system for author name disambiguation
Author Name Disambiguation (AND) is the task of resolving which author mentions in a
bibliographic database refer to the same real-world person, and is a critical ingredient of …
bibliographic database refer to the same real-world person, and is a critical ingredient of …
Multiple features driven author name disambiguation
Author Name Disambiguation (AND) has received more attention recently, accompanied by
the increase of academic publications. To tackle the AND problem, existing studies have …
the increase of academic publications. To tackle the AND problem, existing studies have …
[HTML][HTML] Author name disambiguation based on heterogeneous graph neural network
G Wang, Z Sun, HU Weiyang, MH Cai - PLOS ONE, 2025 - journals.plos.org
With the dramatic increase in the number of published papers and the continuous progress
of deep learning technology, the research on name disambiguation is at a historic peak, the …
of deep learning technology, the research on name disambiguation is at a historic peak, the …
Knowledge-based refinement of scientific publication knowledge graphs
We consider the problem of identifying authorship by posing it as a knowledge graph
construction and refinement. To this effect, we model this problem as learning a probabilistic …
construction and refinement. To this effect, we model this problem as learning a probabilistic …
Towards Effective Author Name Disambiguation by Hybrid Attention
Author name disambiguation (AND) is a central task in academic search, which has
received more attention recently accompanied by the increase of authors and academic …
received more attention recently accompanied by the increase of authors and academic …
Exploring the power of text-rich graph representation learning
Q Zhu - 2023 - ideals.illinois.edu
During my doctoral research, I observed that many applications related to graphs cannot be
captured by existing simple network models. Lots of real networks exhibit massive text …
captured by existing simple network models. Lots of real networks exhibit massive text …
Toward a new paradigm for author name disambiguation
Author Name Disambiguation (AND) has emerged as a significant challenge in the
bibliometric context with the growing volume of scientific literature. When citations written by …
bibliometric context with the growing volume of scientific literature. When citations written by …
Effective Human Allied Learning of Tree Ensembles
S Yan - 2024 - utd-ir.tdl.org
The current surge in machine learning is focused on automating pattern extraction from data,
primarily relying on labels, often generated by humans in the case of supervised learning …
primarily relying on labels, often generated by humans in the case of supervised learning …