Author matching using string similarities and deep neural networks

A Heuristic Approach to Solve Author Name Ambiguity Using Minimum Bibliographic Evidences

S Bhattacharya, P Choudhury, S Nandi… - SN Computer …, 2023 - Springer
This article proposed a method to solve the author's name ambiguity problem using
minimum available bibliographic evidence. Existing models are unable to solve many of the …
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Co-attention-Based Pairwise Learning for Author Name Disambiguation

S Wang, Q Li, R Koopman - International Conference on Asian Digital …, 2023 - Springer
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 …
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Balancing Speed and Accuracy in Neural-Enhanced Phonetic Name Matching

P Blair, C Eliav, F Hasanaj, K Bar - Joint European Conference on …, 2021 - Springer
Automatic co-text free name matching has a variety of important real-world applications,
ranging from fiscal compliance to border control. Name matching systems use a variety of …
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[PDF] unsri.ac.id

[PDF][PDF] KLASIFIKASI AUTHOR MATCHING PADA DATA BIBLIOGRAFI MENGGUNAKAN METODE COST-SENSITIVE DEEP NEURAL NETWORK (CSDNN)

SDWI LESTARI - repository.unsri.ac.id
Abstrak Author Name Ambiguity merupakan suatu masalah yang terjadi apabila
sekumpulan catatan publikasi berisi nama pengarang yang rancu atau ambigu, yaitu …
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[PDF] unsri.ac.id

[PDF][PDF] BIBLIOGRAPHIC DATA CLUSTERING USING K-MEANS

RT Putra - repository.unsri.ac.id
ABSTRAK Author Name Disambiguation (AND) is a process to solve ambiguity problems
that often occur in two or more journal publications that have author data that is almost …
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