Temporal Word Embeddings
Temporal Word Embeddings is a type of word representation model that captures the evolution of word meanings over time by generating time-specific vector embeddings within a diachronic semantic space.
27
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2.4K
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70
Authors
41
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2017–2026
22
Variants
Diachronic Word Embeddings
Parents
27
Temporal Analysis of Language through Neural Language Models
Yoon Kim, Yi-I Chiu, Kentaro Hanaki et al. · 2014 · 281 citations · Full text
Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski et al. · arXiv (Cornell University) · 2018 · 144 citations · Full text
Robert Bamler, Stephan Mandt · arXiv (Cornell University) · 2017 · 111 citations · Full text
Dynamic Word Embeddings for Evolving Semantic Discovery
2018 · 101 citations · Full text
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University of Milano-Bicocca
Milan, Italy
3 h-index
5 publications
133 citations
University College Dublin
Dublin, Ireland
2 h-index
2 publications
202 citations
Walt Disney (United States)
Burbank, United States
2 h-index
4 publications
416 citations
Birmingham City University
Birmingham, United Kingdom
1 h-index
4 publications
88 citations

Chonnam National University
Gwangju, South Korea
1 h-index
3 publications
117 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
3 publications
36 citations

University of Oslo
Oslo, Norway
1 h-index
3 publications
432 citations

Drexel University
Philadelphia, United States
1 h-index
2 publications
28 citations
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Repository · 6 publications · 344 citations
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1 publications · 11 citations
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1 publications · 11 citations
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PNAS · 1 publications · 1.1K citations
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TKDE · 1 publications · 24 citations
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