End-to-end Entity Linking
End-To-End Entity Linking is a biomedical entity linking framework that integrates mention detection and entity disambiguation into a single unified model, eliminating the need for separate, modular processing stages.
17
Publications
744
Citations
63
Authors
29
Institutions
Publications per year
2017–2026
14
Parents
17
End-to-End Neural Entity Linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann · 2018 · 239 citations · Full text
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
Tom Ayoola, Shubhi Tyagi, Joseph A. Fisher et al. · 2022 · 60 citations · Full text
End-to-end entity-aware neural machine translation
Shufang Xie, Yingce Xia, Lijun Wu et al. · Machine Learning · 2022 · 34 citations · Full text
1–5 of 17
63
Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Germany
2 publications · 250 citations
2
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2
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2
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2
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2
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1–5 of 63
29
ETH Zurich
Zurich, Switzerland
2 h-index
5 publications
739 citations
Huawei Technologies (United States)
Plano, United States
1 h-index
1 publications
13 citations

Renmin University of China
Beijing, China
1 h-index
1 publications
34 citations
University of Science and Technology of China
Hefei, China
1 h-index
1 publications
34 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
24 citations
Stanford University
Stanford, United States
1 h-index
1 publications
149 citations
University of Bonn
Bonn, Germany
1 h-index
3 publications
36 citations
Google (United States)
Mountain View, United States
1 h-index
4 publications
60 citations
1–8 of 29
Repository · 5 publications · 65 citations
5
h-index
Conference · 1 publications · 13 citations
1
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1 publications · 34 citations
1
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Repository · 1 publications · 24 citations
1
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Conference · 1 publications · 14 citations
1
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1–5