Joint Entity Linking

Joint Entity Linking is a named entity recognition task that simultaneously identifies entity mentions in text and resolves their corresponding entries in a knowledge base, distinguishing itself from pipelined approaches by modeling these subtasks jointly to leverage mutual dependencies.

49

Publications

2.4K

Citations

172

Authors

62

Institutions

Publications per year

2017–2026

29

Authors

172

  1. KS
    Kuldeep Singh

    University of Bonn, Germany

    2 publications · 156 citations

    2

    h-index

  2. ZY
    Zhenglu Yang

    Nankai University, China

    2 publications · 55 citations

    2

    h-index

  3. VI
    Valentin I. Spitkovsky

    Stanford University, United States

    2 publications · 41 citations

    2

    h-index

  4. MC
    Ming‐Wei Chang

    De Montfort University, United Kingdom

    2 publications · 131 citations

    2

    h-index

  5. AS
    Ahmad Sakor

    Technische Informationsbibliothek (TIB), Germany

    2 publications · 156 citations

    2

    h-index

1–5 of 172

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 65 citations

    2

    h-index

  2. International Conference on Computational Linguistics

    Conference · 2 publications · 68 citations

    2

    h-index

  3. Neurocomputing

    2 publications · 49 citations

    2

    h-index

  4. Theory and applications of categories

    TAC · 2 publications · 26 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 42 citations

    2

    h-index

1–5