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Author Name Disambiguation Using Multiple Graph Attention Networks
IEEE International Joint Conference on Neural Network, 2021The ambiguity of name entities is a common problem in information retrieval, which leads to the decline of retrieval quality. This makes name disambiguation particularly important. In academic field, the rapidly increasing large-scale of publications has
Zhiqiang Zhang +7 more
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Multiple Features Driven Author Name Disambiguation
2021 IEEE International Conference on Web Services (ICWS), 2021Author Name Disambiguation (AND) has received more attention recently, accompanied by the increase of academic publications. To tackle the AND problem, existing studies have proposed many approaches based on different types of information, such as raw ...
Qian Zhou +4 more
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Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding
The Web ConferenceAuthor name disambiguation (AND) is an essential task for online academic retrieval systems. Recent models adopt representation learning in the author's name disambiguation.
De-Zhi Liu +3 more
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Recent Developments in Deep Learning-based Author Name Disambiguation
Italian Research Conference on Digital Library Management SystemsAuthor Name Disambiguation (AND) is a critical task for digital libraries aiming to link existing authors with their respective publications. Due to the lack of persistent identifiers used by researchers and the presence of intrinsic linguistic ...
Francesca Cappelli +2 more
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Journal of information science, 2021
Chinese author names are known to be more difficult to disambiguate than other ethnic names because they tend to share surnames and forenames, thus creating many homonyms.
Jinseok Kim, Jenna Kim, Jinmo Kim
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Chinese author names are known to be more difficult to disambiguate than other ethnic names because they tend to share surnames and forenames, thus creating many homonyms.
Jinseok Kim, Jenna Kim, Jinmo Kim
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Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
Third International Conference on Information Technology: New Generations (ITNG'06), 2006The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. Resolving the ambiguity in biological terms in these texts is an important step for developing efficient knowledge discovery techniques. In this paper, we present a new method
Hisham Al-Mubaid, Ping Chen 0001
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Concurrency and Computation
In person‐centric applications, the prevalence of shared names significantly hampers document retrieval, web search, and database integration, highlighting the critical need for name disambiguation.
Shengxing Bai, Chen-Yang Bu, Xin-Dong Wu
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In person‐centric applications, the prevalence of shared names significantly hampers document retrieval, web search, and database integration, highlighting the critical need for name disambiguation.
Shengxing Bai, Chen-Yang Bu, Xin-Dong Wu
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Name Disambiguation by Collective Classification
2014Disambiguating person names in a set of documents (e.g. research papers or Web pages) is a critical problem in many knowledge management applications. The phenomenon of ambiguity will deteriorate the quality of service, such as the scholar searching and expert finding.
Zhongxiang Chen +4 more
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Scholar Name Disambiguation with Search-enhanced LLM Across Language
arXiv.orgThe task of scholar name disambiguation is crucial in various real-world scenarios, including bibliometric-based candidate evaluation for awards, application material anti-fraud measures, and more.
Renyu Zhao, Yun-Xin Chen
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A boosted-trees method for name disambiguation
Scientometrics, 2012This paper proposes a method for classifying true papers of a set of focal scientists and false papers of homonymous authors in bibliometric research processes. It directly addresses the issue of identifying papers that are not associated (“false”) with a given author. The proposed method has four steps: name and affiliation filtering, similarity score
Jian Wang 0002 +5 more
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