Name ambiguity is a common problem in many bibliographic repositories affecting data
integrity and validity. This article presents an author name disambiguation (AND) literature …

Market economies are often characterised by a failure to self-regulate. One of the most
enduring of these 'market failures' is the ability to maximise the entrepreneurial potential to …

Scholarly data is growing continuously containing information about the articles from a
plethora of venues including conferences, journals, etc. Many initiatives have been taken to …

Author name disambiguation (AND) is a fundamental task in knowledge alignment for
building a knowledge graph network or an online academic search system. Existing AND …

From-scratch name disambiguation is an essential task for establishing a reliable foundation
for academic platforms. It involves partitioning documents authored by identically named …

Name ambiguity is common in academic digital libraries, such as multiple authors having
the same name. This creates challenges for academic data management and analysis, thus …

Digital libraries face a pressing issue of author name ambiguity. This paper proposes a
novel pairwise learning model for author name disambiguation, utilizing self-attention and …

CluEval is a Python tool designed to assess the accuracy of named entity disambiguation
methods in clustering performance. It allows users to employ five commonly used clustering …

Author name ambiguity problem arises when multiple authors have identical names or when
variations of an author's name resemble those of other researchers. This issue affects the …