Paragraph Embeddings
Paragraph Embeddings is a text representation technique that captures the semantic meaning of an entire paragraph as a fixed-dimensional vector, distinguishing it from word or sentence embeddings by modeling broader contextual coherence and discourse structure across multiple sentences.
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8.2K
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Institutions
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2017–2026
28
Variants
Paragraph VectorParagraph Vectors
Parents
36
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomáš Mikolov · arXiv (Cornell University) · 2014 · 5.1K citations · Full text
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li, Thang Luong, Dan Jurafsky · 2015 · 518 citations · Full text
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Peking University
Beijing, China
2 h-index
3 publications
50 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
103 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
6 publications
309 citations
Open University of Israel
Raanana, Israel
1 h-index
1 publications
23 citations

Harbin Institute of Technology
Harbin, China
1 h-index
3 publications
84 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
5 publications
220 citations

DEVCOM Army Research Laboratory
Adelphi, United States
1 h-index
1 publications
52 citations
Wuhan College
Wuhan, China
1 h-index
1 publications
15 citations
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Repository · 7 publications · 5.8K citations
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2 publications · 61 citations
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1 publications · 34 citations
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1 publications · 17 citations
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1 publications · 43 citations
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