Key Concept Extraction
Key Concept Extraction is a computational linguistic process that identifies and isolates the most salient, domain-specific concepts from a text, distinguishing itself by focusing on significant, recurring ideas that represent the core intellectual contributions within academic discourse.
79
Publications
4.2K
Citations
278
Authors
118
Institutions
Publications per year
2017–2026
24
Parents
79
Discovering key concepts in verbose queries
Michael Bendersky, W. Bruce Croft · 2008 · 274 citations
Key concepts in language and linguistics
Choice Reviews Online · 1999 · 219 citations
1–5 of 79
278
3
h-index
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal
2 publications · 76 citations
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 278
118
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
47 citations

Harbin Institute of Technology
Harbin, China
2 h-index
6 publications
141 citations
Tencent (China)
Shenzhen, China
2 h-index
8 publications
348 citations

National Taiwan University
Taipei, Taiwan
2 h-index
9 publications
222 citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
2 h-index
8 publications
350 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
7 publications
408 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
237 citations
Microsoft (United States)
Redmond, United States
2 h-index
7 publications
242 citations
1–8 of 118
4 publications · 703 citations
4
h-index
Repository · 3 publications · 64 citations
3
h-index
Conference · 2 publications · 135 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 185 citations
1
h-index
1–5