Named Entity Recognition
Named Entity Recognition is a natural language processing task that identifies and classifies named entities in text into predefined categories such as persons, organizations, locations, or biomedical terms.
8.2K
Publications
551.5K
Citations
18.8K
Authors
3.1K
Institutions
Publications per year
2017–2026
3.8K
Variants
Ner
8.2K
Natural Language Processing (almost) from Scratch
Ronan Collobert, Jason Weston, Léon Bottou et al. · arXiv (Cornell University) · 2011 · 5.2K citations · Full text
Hierarchical Attention Networks for Document Classification
Zichao Yang, Diyi Yang, Chris Dyer et al. · 2016 · 4.8K citations · Full text
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian et al. · 2016 · 4.4K citations · Full text
1–5 of 8.2K
18.8K
The University of Texas Health Science Center at Houston, United States
55 publications · 4.5K citations
36
h-index
31
h-index
30
h-index
30
h-index
30
h-index
1–5 of 18.8K
3.1K
Tsinghua University
Beijing, China
59 h-index
457 publications
40.2K citations
Carnegie Mellon University
Pittsburgh, United States
55 h-index
354 publications
78.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
52 h-index
367 publications
35.8K citations
Stanford University
Stanford, United States
52 h-index
300 publications
123.6K citations
Google (United States)
Mountain View, United States
46 h-index
245 publications
25.8K citations

Chinese Academy of Sciences
Beijing, China
45 h-index
360 publications
26K citations

Harbin Institute of Technology
Harbin, China
43 h-index
313 publications
16.4K citations

University of Massachusetts Amherst
Amherst Center, United States
42 h-index
191 publications
17.5K citations
1–8 of 3.1K
Repository · 427 publications · 24.3K citations
67
h-index
Conference · 121 publications · 9.5K citations
48
h-index
103 publications · 6.9K citations
46
h-index
92 publications · 5.7K citations
44
h-index
JAMIA · 72 publications · 8.7K citations
43
h-index
1–5