Text-to-concept Mapping
Text-to-Concept Mapping is a representational process in cognitive science and artificial intelligence that identifies and establishes correspondences between textual elements and underlying conceptual structures, distinguishing itself by transforming unstructured natural language descriptions into formalized, machine-processable knowledge representations.
169
Publications
11.2K
Citations
404
Authors
170
Institutions
Publications per year
2017–2026
24
Parents
169
1–5 of 169
404
3
h-index
3
h-index
2
h-index
2 publications · 43 citations
2
h-index
2
h-index
1–5 of 404
170

University of Freiburg
Freiburg im Breisgau, Germany
4 h-index
9 publications
551 citations

Pennsylvania State University
State College, United States
3 h-index
9 publications
702 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
2.4K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
811 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
6 publications
454 citations

Universidad de Jaén
Jaén, Spain
2 h-index
3 publications
141 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
6 publications
148 citations

The University of Sydney
Sydney, Australia
2 h-index
4 publications
290 citations
1–8 of 170
7 publications · 856 citations
7
h-index
5 publications · 239 citations
5
h-index
3 publications · 942 citations
3
h-index
DKE · 2 publications · 37 citations
2
h-index
Repository · 2 publications · 158 citations
2
h-index
1–5