Named Entity-Based Extraction is a keyword extraction method that identifies and extracts keywords by leveraging named entity recognition to isolate domain-specific or semantically significant entities from text.
187
Publications
8.1K
Citations
609
Authors
203
Institutions
Publications per year
2017–2026
59
Parents
Publications
187
New ranking algorithms for parsing and tagging
Michael Collins, Nigel Duffy · 2001 · 509 citations · Full text
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang, Tom M. Mitchell · 2017 · 258 citations · Full text
Named Entity Extraction using AdaBoost
Xavier Carreras, Lluı́s Màrquez, Lluís Padró · 2002 · 185 citations · Full text
1–5 of 187
Authors
609
- MB
6
h-index
- MV
6
h-index
- SS
4
h-index
- YM
3
h-index
- GR
3
h-index
1–5 of 609
Institutions
203
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
886 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
8 publications
582 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
8 publications
185 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
4 publications
75 citations
The University of Tokyo
Tokyo, Japan
3 h-index
5 publications
89 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
13 publications
1K citations
Central South University
Changsha, China
3 h-index
10 publications
160 citations
New York University
New York, United States
3 h-index
3 publications
304 citations
1–8 of 203
Venues
- Journal of Information Science
JIS · 2 publications · 96 citations
2
h-index
- Expert Systems with Applications
2 publications · 111 citations
2
h-index
- Jisuanji gongcheng
2 publications · 28 citations
2
h-index
- Computational Intelligence
2 publications · 137 citations
2
h-index
- University of Twente Research Information
Repository · 2 publications · 43 citations
2
h-index
1–5