Anaphoricity Detection

Anaphoricity Detection is the computational task of determining whether a linguistic expression serves as an anaphor, distinguishing it from non-anaphoric expressions by identifying its dependency on a prior referent for proper interpretation within discourse.

167

Publications

8.5K

Citations

287

Authors

154

Institutions

Publications per year

2017–2026

16

Authors

287

  1. MP
    Massimo Poesio

    University of Essex, United Kingdom

    17 publications · 783 citations

    14

    h-index

  2. RM
    Ruslan Mitkov

    University of Wolverhampton, United Kingdom

    7 publications · 164 citations

    7

    h-index

  3. RI
    Ryu Iida

    Tokyo Institute of Technology, Japan

    6 publications · 192 citations

    6

    h-index

  4. MS
    Michael Strube

    Washington University in St. Louis, United States

    4 publications · 179 citations

    4

    h-index

  5. UK
    Udo Kruschwitz

    University of Essex, United Kingdom

    4 publications · 110 citations

    4

    h-index

1–5 of 287

Venues

  1. Journal of Memory and Language

    4 publications · 534 citations

    4

    h-index

  2. Computational Linguistics

    4 publications · 105 citations

    4

    h-index

  3. Journal of Semantics

    3 publications · 152 citations

    3

    h-index

  4. Lingua

    3 publications · 116 citations

    3

    h-index

  5. Natural Language & Linguistic Theory

    3 publications · 176 citations

    3

    h-index

1–5