Allusions Detection

Allusions Detection is a scholarly methodological approach within source corroboration that identifies and interprets indirect or implied references to external sources in a text, distinguishing itself by focusing on non-explicit linguistic cues rather than direct quotations or citations.

3

Publications

89

Citations

6

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

6

  1. GC
    Gregory Crane

    Tufts University, United States

    1 publications · 21 citations

    1

    h-index

  2. LG
    Lavinia Galli Milić

    University of Notre Dame, United States

    1 publications · 37 citations

    1

    h-index

  3. DB
    David Bamman

    Carnegie Mellon University, United States

    1 publications · 21 citations

    1

    h-index

  4. DN
    Damien Nelis

    University of Geneva, Switzerland

    1 publications · 37 citations

    1

    h-index

  5. CW
    Christopher W. Forstall

    University at Buffalo, State University of New York, United States

    1 publications · 37 citations

    1

    h-index

1–5 of 6

Venues

  1. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 37 citations

    1

    h-index

1–1