Causal Language Interpretation

Causal Language Interpretation is a computational framework that distinguishes itself from other language interpretation methods by explicitly modeling and inferring causal relationships among linguistic elements to support policy analysis and decision-making.

63

Publications

3.9K

Citations

211

Authors

130

Institutions

Publications per year

2017–2026

21

Authors

211

  1. PM
    Paul Muentener

    Tufts University, United States

    3 publications · 65 citations

    3

    h-index

  2. RB
    Rebekah Baglini

    Aarhus University, Denmark

    3 publications · 151 citations

    3

    h-index

  3. TS
    Ted Sanders

    Utrecht University, Netherlands

    3 publications · 167 citations

    3

    h-index

  4. OA
    Onyebuchi A. Arah

    University of California, Los Angeles, United States

    3 publications · 217 citations

    3

    h-index

  5. AS
    Andreea Steriu

    London School of Hygiene & Tropical Medicine, United Kingdom

    2 publications · 95 citations

    2

    h-index

1–5 of 211

Venues

  1. Cognition

    4 publications · 764 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  3. Journal of Pragmatics

    2 publications · 144 citations

    2

    h-index

  4. JAMA

    1 publications · 199 citations

    1

    h-index

  5. European Journal of International Relations

    1 publications · 19 citations

    1

    h-index

1–5