Named Entity Features
Named Entity Features is a text feature engineering technique that specifically encodes the presence, type, and position of named entities—such as persons, organizations, and locations—within a textual instance to enhance downstream natural language processing tasks.
91
Publications
6.8K
Citations
280
Authors
119
Institutions
Publications per year
2017–2026
38
Parents
91
A composite kernel to extract relations between entities with both flat and structured features
Min Zhang, Jie Zhang, Jian Su et al. · 2006 · 243 citations · Full text
Exploiting dictionaries in named entity extraction
William W. Cohen, Sunita Sarawagi · 2004 · 225 citations
Tichakorn Wongpiromsarn, Ufuk Topcu, Necmiye Özay et al. · 2011 · 199 citations
1–5 of 91
280
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 280
119
Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
924 citations

University of Trento
Trento, Italy
2 h-index
5 publications
90 citations
Indian Institute of Technology Patna
Patna, India
2 h-index
4 publications
56 citations
Dalian University of Technology
Dalian, China
2 h-index
11 publications
334 citations

Zhengzhou University
Zhengzhou, China
2 h-index
9 publications
258 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
4 publications
62 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
4 publications
420 citations
Columbia University
New York, United States
2 h-index
2 publications
210 citations
1–8 of 119
Repository · 5 publications · 534 citations
5
h-index
Conference · 3 publications · 43 citations
3
h-index
3 publications · 60 citations
3
h-index
2 publications · 61 citations
2
h-index
2 publications · 60 citations
2
h-index
1–5