Cross-document Coreference Resolution

Cross-Document Coreference Resolution is a task in natural language processing that identifies and links coreferent mentions of the same real-world entity across multiple distinct documents, distinguishing it from intra-document coreference resolution by operating beyond the boundaries of individual texts.

44

Publications

2.5K

Citations

121

Authors

48

Institutions

Publications per year

2017–2026

15

Variants

Cdcr

Authors

121

  1. ID
    Ido Dagan

    Bar-Ilan University, Israel

    8 publications · 233 citations

    8

    h-index

  2. AC
    Arie Cattan

    Bar-Ilan University, Israel

    6 publications · 115 citations

    6

    h-index

  3. AE
    Alon Eirew

    Bar-Ilan University, Israel

    5 publications · 197 citations

    5

    h-index

  4. MJ
    Mandar Joshi

    Nationwide Children's Hospital, United States

    3 publications · 67 citations

    3

    h-index

  5. PM
    Paul McNamee

    University of Aberdeen, United Kingdom

    3 publications · 116 citations

    3

    h-index

1–5 of 121

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 103 citations

    6

    h-index

  2. Maryland Shared Open Access Repository (USMAI Consortium)

    Repository · 2 publications · 63 citations

    2

    h-index

  3. International Joint Conference on Natural Language Processing

    Conference · 1 publications · 13 citations

    1

    h-index

  4. International Conference on Computational Linguistics

    Conference · 1 publications · 21 citations

    1

    h-index

  5. Deep Blue (University of Michigan)

    Repository · 1 publications · 26 citations

    1

    h-index

1–5