Argument Mining

Argument Mining is an academic research area within natural language processing that systematically identifies, extracts, and structures argumentative elements—such as claims, premises, and their relations—from unstructured text to reconstruct persuasive reasoning patterns.

360

Publications

17K

Citations

763

Authors

295

Institutions

Publications per year

2017–2026

198

Authors

763

  1. IG
    Iryna Gurevych

    Technische Universität Darmstadt, Germany

    23 publications · 1.4K citations

    19

    h-index

  2. HW
    Henning Wachsmuth

    Bauhaus-Universität Weimar, Germany

    23 publications · 1.3K citations

    19

    h-index

  3. CR
    Chris Reed

    University of Dundee, United Kingdom

    20 publications · 1.3K citations

    18

    h-index

  4. BS
    Benno Stein

    Bauhaus-Universität Weimar, Germany

    21 publications · 1.3K citations

    18

    h-index

  5. NS
    Noam Slonim

    IBM Research - Haifa, Israel

    14 publications · 987 citations

    13

    h-index

1–5 of 763

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 240 citations

    10

    h-index

  2. Argument & Computation

    9 publications · 242 citations

    9

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 351 citations

    8

    h-index

  4. 5

    h-index

  5. TUbilio (Technical University of Darmstadt)

    Repository · 5 publications · 208 citations

    5

    h-index

1–5