Neural Entity Linking

Neural Entity Linking is a biomedical entity linking method that employs deep neural network architectures to map ambiguous mentions in text to standardized concepts in a knowledge base by learning distributed representations of entities and contexts.

45

Publications

2.8K

Citations

155

Authors

60

Institutions

Publications per year

2017–2026

43

Authors

155

  1. GK
    Gourab Kundu

    IBM (United States), United States

    3 publications · 141 citations

    3

    h-index

  2. BX
    Bing Xiang

    IBM (United States), United States

    3 publications · 385 citations

    3

    h-index

  3. MY
    Mo Yu

    IBM (United States), United States

    3 publications · 385 citations

    3

    h-index

  4. WY
    Wenpeng Yin

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 385 citations

    3

    h-index

  5. WH
    Wael Hamza

    Amazon (United States), United States

    3 publications · 141 citations

    3

    h-index

1–5 of 155

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 362 citations

    10

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 448 citations

    7

    h-index

  3. IEEE Access

    2 publications · 43 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5