research-article

Person name disambiguation by bootstrapping

Authors:

Minoru Yoshida,

Hiroshi NakagawaAuthors Info & Claims

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Pages 10 - 17

https://doi.org/10.1145/1835449.1835454

Published: 19 July 2010 Publication History

Abstract

In this paper, we report our system that disambiguates person names in Web search results. The system uses named entities, compound key words, and URLs as features for document similarity calculation, which typically show high precision but low recall clustering results. We propose to use a two-stage clustering algorithm by bootstrapping to improve the low recall values, in which clustering results of the first stage are used to extract features used in the second stage clustering. Experimental results revealed that our algorithm yields better score than the best systems at the latest WePS workshop.

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Cited By

Liu DZhang RChen JChen XChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive EmbeddingProceedings of the ACM Web Conference 202410.1145/3589334.3645596(2193-2203)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645596
Cheng YChen BZhang FTang JChua TNgo CKa-Wei Lee RKumar RLauw H(2024)BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task PromotingProceedings of the ACM Web Conference 202410.1145/3589334.3645580(4216-4226)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645580
Huang ZZhang HHao CYang HWu H(2024)A cross-domain transfer learning model for author name disambiguation on heterogeneous graph with pretrained language modelKnowledge-Based Systems10.1016/j.knosys.2024.112624(112624)Online publication date: Oct-2024
https://doi.org/10.1016/j.knosys.2024.112624
Show More Cited By

Index Terms

Person name disambiguation by bootstrapping
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

cover image ACM Conferences

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

July 2010

944 pages

ISBN:9781450301534

DOI:10.1145/1835449

General Chairs:
Fabio Crestani
University of Lugano, CH
,
Stéphane Marchand-Maillet
University of Geneva, CH
,
Program Chairs:
Hsin-Hsi Chen
National Taiwan University, TW
,
Efthimis N. Efthimiadis
University of Washington, USA
,
Jacques Savoy
University of Neuchatel, CH

Copyright © 2010 ACM.

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2010

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SIGIR '10

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SIGIR

SIGIR '10: The 33rd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2010

Geneva, Switzerland

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SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Liu DZhang RChen JChen XChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive EmbeddingProceedings of the ACM Web Conference 202410.1145/3589334.3645596(2193-2203)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645596
Cheng YChen BZhang FTang JChua TNgo CKa-Wei Lee RKumar RLauw H(2024)BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task PromotingProceedings of the ACM Web Conference 202410.1145/3589334.3645580(4216-4226)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645580
Huang ZZhang HHao CYang HWu H(2024)A cross-domain transfer learning model for author name disambiguation on heterogeneous graph with pretrained language modelKnowledge-Based Systems10.1016/j.knosys.2024.112624(112624)Online publication date: Oct-2024
https://doi.org/10.1016/j.knosys.2024.112624
Zhou QChen WZhao PLiu AXu JQu JZhao L(2024)Towards Effective Author Name Disambiguation by Hybrid AttentionJournal of Computer Science and Technology10.1007/s11390-023-2070-z39:4(929-950)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11390-023-2070-z
Hadni MHjiaj H(2023)An Improved Chaotic Sine Cosine Firefly Algorithm for Arabic Feature SelectionProceedings of the 6th International Conference on Big Data and Internet of Things10.1007/978-3-031-28387-1_8(84-94)Online publication date: 29-Mar-2023
https://doi.org/10.1007/978-3-031-28387-1_8
Hadni MHassane H(2022)A New Metaheuristic Approach Based Feature Selection for Arabic Text Categorization2022 International Arab Conference on Information Technology (ACIT)10.1109/ACIT57182.2022.9994102(1-7)Online publication date: 22-Nov-2022
https://doi.org/10.1109/ACIT57182.2022.9994102
Tang JChen YShe GXu YSha KWang XWang YZhang ZHui P(2021)Identifying Mis-Configured Author Profiles on Google Scholar Using Deep LearningApplied Sciences10.3390/app1115691211:15(6912)Online publication date: 27-Jul-2021
https://doi.org/10.3390/app11156912
Zhou QChen WWang WXu JZhao L(2021)Multiple Features Driven Author Name Disambiguation2021 IEEE International Conference on Web Services (ICWS)10.1109/ICWS53863.2021.00071(506-515)Online publication date: Sep-2021
https://doi.org/10.1109/ICWS53863.2021.00071
Chen YJiang ZGao JDu HGao LLi Z(2021)A supervised and distributed framework for cold-start author disambiguation in large-scale publicationsNeural Computing and Applications10.1007/s00521-020-05684-y35:18(13093-13108)Online publication date: 5-Mar-2021
https://doi.org/10.1007/s00521-020-05684-y
Zhang ZYu BLiu TWang D(2020)Strong Baselines for Author Name Disambiguation with and Without Neural NetworksAdvances in Knowledge Discovery and Data Mining10.1007/978-3-030-47426-3_29(369-381)Online publication date: 11-May-2020
https://dl.acm.org/doi/10.1007/978-3-030-47426-3_29
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