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

Publications

3.2K

Citations

258

Authors

95

Institutions

Publications per year

2017–2026

43

Authors

258

  1. SV
    Stephan Vogel

    Carnegie Mellon University, United States

    3 publications · 189 citations

    3

    h-index

  2. FH
    Fei Huang

    Alibaba Group (United States), United States

    3 publications · 189 citations

    3

    h-index

  3. CB
    Chenyang Bu

    Hefei University of Technology, China

    2 publications · 56 citations

    2

    h-index

  4. CZ
    Chengqing Zong

    Chinese Academy of Sciences, China

    2 publications · 50 citations

    2

    h-index

  5. ZX
    Zhiwen Xie

    Central China Normal University, China

    2 publications · 152 citations

    2

    h-index

1–5 of 258

Venues

  1. Applied Intelligence

    4 publications · 62 citations

    4

    h-index

  2. Neurocomputing

    4 publications · 135 citations

    4

    h-index

  3. Information Fusion

    3 publications · 124 citations

    3

    h-index

  4. Knowledge-Based Systems

    3 publications · 82 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 30 citations

    2

    h-index

1–5