Subword Embeddings
Subword Embeddings is a type of word representation in natural language processing where the meaning of a word is modeled as a function of the embeddings of its constituent character n-grams or subword units, enabling the capture of morphological information and effective handling of out-of-vocabulary words.
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17.2K
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477
Authors
171
Institutions
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2017–2026
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BioWordVec, improving biomedical word embeddings with subword information and MeSH
Yijia Zhang, Qingyu Chen, Zhihao Yang et al. · Scientific Data · 2019 · 477 citations · Full text
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Édouard Grave, Armand Joulin et al. · arXiv (Cornell University) · 2016 · 439 citations · Full text
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International Institute of Information Technology, Hyderabad, India
3 publications · 194 citations
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171

Johns Hopkins University
Baltimore, United States
8 h-index
22 publications
816 citations
Meta (Israel)
Tel Aviv, Israel
4 h-index
13 publications
41.3K citations
Tsinghua University
Beijing, China
4 h-index
4 publications
596 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
9 publications
391 citations
Google (United States)
Mountain View, United States
4 h-index
15 publications
1.2K citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
7 publications
140 citations

University of the Basque Country
Leioa, Spain
3 h-index
7 publications
489 citations

Soochow University
Suzhou, China
3 h-index
7 publications
118 citations
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Repository · 18 publications · 1K citations
15
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Conference · 4 publications · 618 citations
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Conference · 3 publications · 168 citations
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2 publications · 45 citations
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2 publications · 44 citations
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