Named Entity Translation

Named Entity Translation is a cross-lingual natural language processing task that involves the identification and accurate translation of named entities—such as persons, organizations, and locations—from a source language to a target language while preserving their referential equivalence and contextual appropriateness.

70

Publications

2.1K

Citations

210

Authors

59

Institutions

Publications per year

2017–2026

21

Authors

210

  1. HL
    Haizhou Li

    National University of Singapore, Singapore

    7 publications · 167 citations

    7

    h-index

  2. AK
    A. Kumaran

    Microsoft Research (India), India

    6 publications · 119 citations

    6

    h-index

  3. FH
    Fei Huang

    Alibaba Group (United States), United States

    4 publications · 184 citations

    4

    h-index

  4. SH
    Seung-won Hwang

    Pohang University of Science and Technology, South Korea

    4 publications · 66 citations

    4

    h-index

  5. LJ
    Long Jiang

    Harbin Institute of Technology, China

    4 publications · 124 citations

    4

    h-index

1–5 of 210

Venues

  1. Meeting of the Association for Computational Linguistics

    Conference · 3 publications · 59 citations

    3

    h-index

  2. 2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 32 citations

    2

    h-index

  4. Procedia Computer Science

    2 publications · 31 citations

    2

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 28 citations

    1

    h-index

1–5