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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 digital library applications such as search and citation analysis.
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M. Song, E. H.-J. Kim, and H. J. Kim, “Exploring author name disambiguation on PubMed-scale,” Journal of informetrics , vol. 9, no. 4, pp. 924–941, 2015
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D. Vishnyakova, R. Rodriguez-Esteban, and F. Rinaldi, “A new approach and gold standard toward author disambiguation in medline,” Journal of the American Medical Informatics Association , vol. 26, no. 10, pp. 1037–1045, 2019
2019
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K. Kim, S. Rohatgi, and C. L. Giles, “Hybrid deep pairwise classification for author name disambiguation,” in Proceedings of the 28th ACM International Conference on Information and Knowledge Management , 2019, pp. 2369–2372
2019
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H. Mihaljevic, M. Tullney, L. Santamaría, and C. Steinfeldt, “Reflections on gender analyses of bibliographic corpora,” Frontiers Big Data , vol. 2, p. 29, 2019
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2019
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K. Jhawar, D. K. Sanyal, S. Chattopadhyay, P. K. Bhowmick, and P. P. Das, “Author name disambiguation in PubMed using ensemble-based classification algorithms,” in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 . ACM, 2020, p. 469–470
2020
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A. Cohan, S. Feldman, I. Beltagy, D. Downey, and D. Weld, “SPECTER: Document-level representation learning using citation-informed transformers,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020, pp. 2270–2282
2020
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2020
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M. Bogen, A. Rieke, and S. Ahmed, “Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination,” in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency , 2020, pp. 492–500
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2020
Later among the works it cites.
J. Kim and J. Owen-Smith, “ORCID-linked labeled data for evaluating author name disambiguation at scale,” Scientometrics , Feb 2021
2021
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