Corpus-based Term Extraction
Corpus-Based Term Extraction is a term extraction method that identifies domain-specific terms from a specialized corpus by analyzing statistical or linguistic patterns inherent in naturally occurring text, distinguishing it from knowledge-based or rule-driven approaches through its reliance on empirical data.
283
Publications
12K
Citations
663
Authors
285
Institutions
Publications per year
2017–2026
52
Parents
283
1–5 of 283
663
8
h-index
6
h-index
6
h-index
6
h-index
5
h-index
1–5 of 663
285
University of Sheffield
Sheffield, United Kingdom
7 h-index
14 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
21 publications
956 citations
The University of Tokyo
Tokyo, Japan
5 h-index
8 publications
1K citations

University of Manchester
Manchester, United Kingdom
5 h-index
6 publications
205 citations

Nantes Université
Nantes, France
5 h-index
9 publications
315 citations
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Montpellier, France
4 h-index
13 publications
610 citations

Université de Montpellier
Montpellier, France
4 h-index
13 publications
610 citations

Ghent University
Ghent, Belgium
4 h-index
12 publications
340 citations
1–8 of 285
20 publications · 1.4K citations
14
h-index
Repository · 8 publications · 243 citations
8
h-index
Repository · 4 publications · 107 citations
4
h-index
3 publications · 71 citations
3
h-index
JBMS · 3 publications · 109 citations
3
h-index
1–5