Named Entity Alignment
Named Entity Alignment is a computational method in Parallel Corpus Analysis that identifies and links corresponding named entities across aligned sentences in multilingual or cross-lingual parallel texts, distinguishing itself from other alignment techniques by focusing specifically on proper nouns and entity-level semantic equivalence.
74
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3.2K
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258
Authors
95
Institutions
Publications per year
2017–2026
43
Parents
74
Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng et al. · 2019 · 178 citations · Full text
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
Chengjiang Li, Yixin Cao, Lei Hou et al. · 2019 · 175 citations · Full text
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu, Yixin Cao, Liangming Pan et al. · 2020 · 110 citations · Full text
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National University of Defense Technology
Changsha, China
4 h-index
15 publications
549 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
13 publications
905 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
160 citations
Wuhan University
Wuhan, China
3 h-index
9 publications
488 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
1.2K citations

Shaanxi Normal University
Xi'an, China
2 h-index
3 publications
57 citations
University of Southern California
Los Angeles, United States
2 h-index
2 publications
152 citations
Dublin City University
Dublin, Ireland
2 h-index
4 publications
110 citations
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4 publications · 62 citations
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4 publications · 135 citations
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3 publications · 124 citations
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3 publications · 82 citations
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Repository · 2 publications · 30 citations
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