Entity Encoding
Entity Encoding is a methodological framework within text encoding that systematically represents named entities in natural language texts as structured symbolic forms to preserve their semantic identity and relational context during computational processing.
7
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279
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26
Authors
11
Institutions
Publications per year
2017–2026
3
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Intonational encoding of double negation in Catalan
M. Teresa Espinal, Pilar Prieto · Journal of Pragmatics · 2011 · 78 citations
An annotated dataset of literary entities
David Bamman, Sejal Popat, Sheng Shen · 2019 · 54 citations · Full text
VISTA: Visual-Textual Knowledge Graph Representation Learning
Jaejun Lee, Chanyoung Chung, Ho‐Chang Lee et al. · 2023 · 36 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
20 citations
Nanjing University of Science and Technology
Nanjing, China
1 h-index
1 publications
37 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
5 publications
180 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
1 h-index
1 publications
78 citations

Anhui University
Hefei, China
1 h-index
1 publications
37 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
20 citations

Universitat Pompeu Fabra
Barcelona, Spain
1 h-index
1 publications
78 citations

University of Oulu
Oulu, Finland
1 h-index
3 publications
63 citations
1–8 of 11
1 publications · 37 citations
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Repository · 1 publications · 33 citations
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1 publications · 21 citations
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1 publications · 78 citations
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