Zero-shot Named Entity Recognition
Zero-Shot Named Entity Recognition is a named entity recognition framework that identifies and classifies entity mentions in text without requiring labeled training examples for the target entity types, distinguishing it from supervised and few-shot approaches by leveraging transferable knowledge or semantic representations.
29
Publications
1.6K
Citations
132
Authors
37
Institutions
Publications per year
2017–2026
28
Variants
Zero-shot Ner
Parents
29
ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
Xingyu Cui, Ning Cheng, Xiaobin Wang et al. · arXiv (Cornell University) · 2023 · 145 citations · Full text
1–5 of 29
132
3
h-index
The University of Texas Health Science Center at Houston, United States
3 publications · 444 citations
3
h-index
National Center for Biotechnology Information, United States
2 publications · 377 citations
2
h-index
2
h-index
2
h-index
1–5 of 132
37
Google (United States)
Mountain View, United States
2 h-index
2 publications
42 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
6 publications
402 citations
National Center for Biotechnology Information
Bethesda, United States
2 h-index
6 publications
938 citations
National Institutes of Health
Bethesda, United States
2 h-index
6 publications
938 citations
Yale University
New Haven, United States
2 h-index
11 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
241 citations
Université Toulouse - Jean Jaurès
Toulouse, France
1 h-index
1 publications
27 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
51 citations
1–8 of 37
Repository · 8 publications · 402 citations
10
h-index
Conference · 1 publications · 17 citations
1
h-index
Conference · 1 publications · 118 citations
1
h-index
JAMIA · 1 publications · 285 citations
1
h-index
1 publications · 92 citations
1
h-index
1–5