Hedging Detection
Hedging Detection is a computational linguistic task that identifies linguistic markers of uncertainty or caution in academic texts to determine the degree of commitment authors exhibit toward their claims.
9
Publications
324
Citations
28
Authors
28
Institutions
Publications per year
2017–2026
4
Parents
9
1–5 of 9
28
United States National Library of Medicine, United States
2 publications · 137 citations
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 28
28

Concordia University
Montreal, Canada
2 h-index
3 publications
148 citations
Düsseldorf University Hospital
Düsseldorf, Germany
1 h-index
1 publications
35 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
1 h-index
1 publications
35 citations
Harbin Institute of Petroleum
Harbin, China
1 h-index
1 publications
27 citations
Twin Cities Orthopedics
Edina, United States
1 h-index
1 publications
35 citations

University of Tübingen
Tübingen, Germany
1 h-index
1 publications
35 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
3 publications
105 citations

Leiden University Medical Center
Leiden, The Netherlands
1 h-index
1 publications
35 citations
1–8 of 28
1 publications · 126 citations
1
h-index
Repository · 1 publications · 58 citations
1
h-index
Repository · 1 publications · 16 citations
1
h-index
1 publications · 27 citations
1
h-index
TLC · 1 publications · 18 citations
1
h-index
1–5