Results 31 to 40 of about 2,936,085 (211)

Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives [PDF]

open access: yesIEEE International Conference on Tools with Artificial Intelligence, 2022
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 name disambiguation becomes necessary.
Wenjin Xie   +3 more
semanticscholar   +1 more source

Disambiguation of proper names in text [PDF]

open access: yesProceedings of the fifth conference on Applied natural language processing -, 1997
Identifying the occurrences of proper names in text and the entities they refer to can be a difficult task because of the many-to-many mapping between names and their referents. We analyze the types of ambiguity --- structural and semantic --- that make the discovery of proper names difficult in text, and describe the heuristics used to disambiguate ...
Nina Wacholder, Yael Ravin, Misook Choi
openaire   +1 more source

Unsupervised personal name disambiguation [PDF]

open access: yesProceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -, 2003
This paper presents a set of algorithms for distinguishing personal names with multiple real referents in text, based on little or no supervision. The approach utilizes an unsupervised clustering technique over a rich feature space of biographic facts, which are automatically extracted via a language-independent bootstrapping process.
Gideon S. Mann, David Yarowsky
openaire   +2 more sources

gambit – An Open Source Name Disambiguation Tool for Version Control Systems [PDF]

open access: yesIEEE Working Conference on Mining Software Repositories, 2021
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information.
Christoph Gote, C. Zingg
semanticscholar   +1 more source

Model Reuse in Machine Learning for Author Name Disambiguation: An Exploration of Transfer Learning

open access: yesIEEE Access, 2020
Machine learning for author name disambiguation is usually conducted on the training and test subsets of labeled data created for a specific task. As a result, disambiguation models learned on heterogeneous labeled data are often inapplicable for other ...
Jinseok Kim, Jason Owen-Smith
doaj   +1 more source

Author Name Disambiguation in Medline

open access: yes, 2006
Author Name Disambiguation in ...
Neil R. Smalheiser (7915577)   +1 more
core   +6 more sources

SNEToolkit: Spatial named entities disambiguation toolkit

open access: yesSoftwareX, 2023
“Can you tell me where San Jose is located?” “Uh! Do you know that there are more than 1700 locations named San Jose in the world?” The official name of a location is often not the name with which we are familiar.
Rodrique Kafando   +3 more
doaj   +1 more source

ORCID-linked labeled data for evaluating author name disambiguation at scale [PDF]

open access: yesScientometrics, 2021
How can we evaluate the performance of a disambiguation method implemented on big bibliographic data? This study suggests that the open researcher profile system, ORCID, can be used as an authority source to label name instances at scale.
Jinseok Kim, Jason Owen-Smith
semanticscholar   +1 more source

Author Name Disambiguation Based on Heterogeneous Graph

open access: yes電腦學刊, 2023
Since multiple people share the same name in the real world, this will cause performance degradation to academic search systems and lead to misattribution of publications. The author name disambiguation algorithm has not yet to be well solved.
Chuang-Ma-Chuang Ma   +1 more
semanticscholar   +1 more source

ADANA: Active Name Disambiguation [PDF]

open access: yes2011 IEEE 11th International Conference on Data Mining, 2011
Name ambiguity has long been viewed as a challenging problem in many applications, such as scientific literature management, people search, and social network analysis. When we search a person name in these systems, many documents (e.g., papers, web pages) containing that person's name may be returned.
Xuezhi Wang 0002   +3 more
openaire   +1 more source

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