Hypernymy Detection
Hypernymy Detection is a computational task in lexical semantics that identifies hierarchical relationships between terms where one term (the hyponym) denotes a concept subsumed under another (the hypernym), distinguishing it from relatedness or co-hyponymy detection by specifically targeting asymmetric type–subtype conceptual inclusion.
119
Publications
11K
Citations
303
Authors
133
Institutions
Publications per year
2017–2026
44
Variants
Hypernym Detection
Parents
119
Automatic acquisition of hyponyms from large text corpora
Marti A. Hearst · 1992 · 3.3K citations · Full text
Semantic taxonomy induction from heterogenous evidence
Rion Snow, Daniel Jurafsky, Andrew Y. Ng · 2006 · 458 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
30 publications
1.4K citations

East China Normal University
Shanghai, China
6 h-index
18 publications
400 citations

Sapienza University of Rome
Rome, Italy
5 h-index
14 publications
1.5K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
12 publications
857 citations

University of Pisa
Pisa, Italy
5 h-index
9 publications
870 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
4 h-index
8 publications
350 citations

DEVCOM Army Research Laboratory
Adelphi, United States
4 h-index
8 publications
384 citations

Harbin Institute of Technology
Harbin, China
4 h-index
14 publications
1.5K citations
1–8 of 133
Repository · 9 publications · 285 citations
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3 publications · 390 citations
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2 publications · 146 citations
2
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2 publications · 103 citations
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TKDE · 2 publications · 100 citations
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