Effective Unsupervised Author Disambiguation with Relative Frequencies-Reference-Cited by-同舟云学术

Effective Unsupervised Author Disambiguation with Relative Frequencies

Published:2018-05-23 Issue: Volume: Page:
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Container-title:Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
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Author:

Backes Tobias¹

Affiliation:

1. GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3197026.3197036

Reference16 articles.

1. Aron Culotta Pallika Kanani Robert Hall Michael Wick and Andrew McCallum . 2007. Author disambiguation using error-driven machine learning with a ranking loss function Sixth International Workshop on Information Integration on the Web (IIWeb-07) Vancouver Canada. Aron Culotta Pallika Kanani Robert Hall Michael Wick and Andrew McCallum . 2007. Author disambiguation using error-driven machine learning with a ranking loss function Sixth International Workshop on Information Integration on the Web (IIWeb-07) Vancouver Canada.

2. A brief survey of automatic methods for author name disambiguation

3. Anderson A Ferreira Adriano Veloso Marcos André Gonccalves and Alberto HF Laender . 2010. Effective self-training author name disambiguation in scholarly digital libraries Proceedings of the 10th annual joint conference on Digital libraries. ACM 39--48. 10.1145/1816123.1816130 Anderson A Ferreira Adriano Veloso Marcos André Gonccalves and Alberto HF Laender . 2010. Effective self-training author name disambiguation in scholarly digital libraries Proceedings of the 10th annual joint conference on Digital libraries. ACM 39--48. 10.1145/1816123.1816130

4. Author disambiguation using multi-aspect similarity indicators

5. Hui Han Wei Xu Hongyuan Zha and C Lee Giles . 2005. A hierarchical naive Bayes mixture model for name disambiguation in author citations Proceedings of the 2005 ACM symposium on Applied computing. ACM 1065--1069. 10.1145/1066677.1066920 Hui Han Wei Xu Hongyuan Zha and C Lee Giles . 2005. A hierarchical naive Bayes mixture model for name disambiguation in author citations Proceedings of the 2005 ACM symposium on Applied computing. ACM 1065--1069. 10.1145/1066677.1066920

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