Named Entity Matching
Named Entity Matching is a method within the field of information extraction that identifies and links named entities across different textual sources by determining their semantic equivalence based on syntactic, contextual, and ontological features.
147
Publications
11.4K
Citations
458
Authors
167
Institutions
Publications per year
2017–2026
35
Parents
147
1–5 of 147
458
7
h-index
6
h-index
3
h-index
3
h-index
3
h-index
1–5 of 458
167
Tsinghua University
Beijing, China
6 h-index
18 publications
727 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
23 publications
1.8K citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
12 publications
255 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
4.2K citations
Microsoft (United States)
Redmond, United States
4 h-index
5 publications
98 citations
Columbia University
New York, United States
4 h-index
9 publications
338 citations
University of Southern California
Los Angeles, United States
3 h-index
6 publications
380 citations
Indian Institute of Technology Patna
Patna, India
3 h-index
9 publications
138 citations
1–8 of 167
PVLDB · 4 publications · 235 citations
4
h-index
4 publications · 192 citations
4
h-index
Repository · 2 publications · 27 citations
2
h-index
2 publications · 105 citations
2
h-index
TKDE · 2 publications · 29 citations
2
h-index
1–5