Cross-document Event Representation

Cross-Document Event Representation is an academic concept within event representation that denotes a computational method or model designed to integrate, align, and represent events across multiple distinct documents, thereby enabling the construction of a unified, coherent, and temporally structured narrative or event schema.

11

Publications

720

Citations

35

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

35

  1. RG
    Ralph Grishman

    New York University, United States

    2 publications · 444 citations

    2

    h-index

  2. HJ
    Heng Ji

    Rensselaer Polytechnic Institute, United States

    2 publications · 444 citations

    2

    h-index

  3. MS
    Manuela Speranza

    Fondazione Bruno Kessler, Italy

    2 publications · 97 citations

    2

    h-index

  4. RS
    Rachele Sprugnoli

    Fondazione Bruno Kessler, Italy

    1 publications · 14 citations

    1

    h-index

  5. PV
    Piek Vossen

    Vrije Universiteit Amsterdam, Netherlands

    1 publications · 16 citations

    1

    h-index

1–5 of 35

Venues

  1. Data Mining and Knowledge Discovery

    1 publications · 10 citations

    1

    h-index

  2. TUbilio (Technical University of Darmstadt)

    Repository · 1 publications · 11 citations

    1

    h-index

  3. Knowledge-Based Systems

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

1–4