Entity Retrieval
Entity Retrieval is a retrieval model that specifically targets the identification and ranking of named entities from a document collection in response to a query, distinguished from other retrieval models by its focus on discrete real-world objects such as persons, organizations, or locations rather than documents or passages.
127
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6.5K
Citations
325
Authors
130
Institutions
Publications per year
2017–2026
39
127
Sunghwan Kim, Jie Chen, Tiejun Cheng et al. · Nucleic Acids Research · 2024 · 1K citations · Full text
Medicine, Biochemistry, Chemistry +14
Introduction to the bio-entity recognition task at JNLPBA
Jin-Dong Kim, Tomoko Ohta, Yoshimasa Tsuruoka et al. · 2004 · 581 citations · Full text
Attributed Social Network Embedding
Lizi Liao, Xiangnan He, Hanwang Zhang et al. · IEEE Transactions on Knowledge and Data Engineering · 2018 · 464 citations · Full text
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel et al. · arXiv (Cornell University) · 2020 · 200 citations · Full text
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130

University of Amsterdam
Amsterdam, The Netherlands
12 h-index
30 publications
1.3K citations
Norwegian University of Science and Technology
Trondheim, Norway
11 h-index
15 publications
811 citations
University of Stavanger
Stavanger, Norway
9 h-index
14 publications
493 citations
Yahoo (Spain)
Madrid, Spain
8 h-index
15 publications
682 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
7 h-index
16 publications
468 citations
Amsterdam University of the Arts
Amsterdam, The Netherlands
7 h-index
18 publications
564 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
10 publications
734 citations
L3S Research Center
Hanover, Germany
6 h-index
15 publications
259 citations
1–8 of 130
Repository · 6 publications · 358 citations
6
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Conference · 4 publications · 53 citations
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TKDE · 3 publications · 559 citations
3
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3 publications · 118 citations
3
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2 publications · 59 citations
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