Joint Linking
Joint Linking is a biomedical entity linking approach that simultaneously disambiguates and links multiple entities within a document by modeling their interdependencies, distinguishing it from sequential or independent linking methods through its integrated, holistic inference process.
12
Publications
994
Citations
42
Authors
22
Institutions
Publications per year
2017–2026
6
Parents
12
Collective entity linking in web text
Xianpei Han, Le Sun, Jun Zhao · 2011 · 358 citations
Joint Entity Recognition and Disambiguation
Gang Luo, Xiaojiang Huang, Chin-Yew Lin et al. · 2015 · 266 citations · Full text
Joint Entity Linking with Deep Reinforcement Learning
Zheng Fang, Yanan Cao, Qian Li et al. · 2019 · 94 citations · Full text
Joint Named Entity Recognition and Disambiguation
Gang Luo, Xiaojiang Huang, Chin-Yew Lin et al. · 2015 · 69 citations
1–5 of 12
42
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 42
22
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
473 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
1.1K citations
Hasso Plattner Institute
Potsdam, Germany
1 h-index
3 publications
51 citations
Beijing Jiaotong University
Beijing, China
1 h-index
3 publications
66 citations
Northeastern University
Boston, United States
1 h-index
1 publications
31 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
3 publications
36 citations
University of Potsdam
Potsdam, Germany
1 h-index
1 publications
17 citations

Rutherford Appleton Laboratory
Didcot, United Kingdom
1 h-index
1 publications
12 citations
1–8 of 22
1 publications · 22 citations
1
h-index
IJDC · 1 publications · 12 citations
1
h-index
Conference · 1 publications · 12 citations
1
h-index
LNCS · Book series · 1 publications · 10 citations
1–4