Sense Embeddings
Sense Embeddings is a type of word representation in natural language processing that distinguishes between different lexical meanings of a word by mapping each sense to a distinct vector in a continuous semantic space.
105
Publications
5.8K
Citations
253
Authors
124
Institutions
Publications per year
2017–2026
65
Variants
Word Sense Embeddings
Parents
105
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li, Dan Jurafsky · 2015 · 242 citations · Full text
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Skolkovo Institute of Science and Technology, Russia
4 publications · 180 citations
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124
University of Cambridge
Cambridge, United Kingdom
4 h-index
8 publications
404 citations

Sapienza University of Rome
Rome, Italy
4 h-index
9 publications
710 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
78 citations
Université Paris-Saclay
Gif-sur-Yvette, France
3 h-index
4 publications
78 citations
Tsinghua University
Beijing, China
3 h-index
10 publications
1.6K citations
Wright State University
Dayton, United States
3 h-index
12 publications
476 citations

University of Gothenburg
Gothenburg, Sweden
3 h-index
6 publications
136 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
2 publications
118 citations
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Repository · 14 publications · 572 citations
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TACL · 4 publications · 147 citations
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3 publications · 113 citations
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2 publications · 32 citations
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2 publications · 419 citations
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