Discourse-level Matching

Discourse-Level Matching is a scholarly construct within computational linguistics that systematically aligns textual elements across discourse units by preserving contextual coherence and pragmatic intent, distinguishing it from syntactic or lexical-level matching through its focus on higher-order rhetorical and semantic relationships.

6

Publications

515

Citations

10

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

10

  1. MP
    Massimo Poesio

    University of Essex, United Kingdom

    2 publications · 248 citations

    2

    h-index

  2. JT
    Jiliang Tang

    Michigan State University, United States

    2 publications · 155 citations

    2

    h-index

  3. HR
    Hamid Reza Karimi

    Politecnico di Milano, Italy

    2 publications · 155 citations

    2

    h-index

  4. RV
    Renata Vieira

    Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

    2 publications · 248 citations

    2

    h-index

  5. JY
    Jungwan Yoon

    Pennsylvania State University, United States

    1 publications · 78 citations

    1

    h-index

1–5 of 10

Venues

  1. Computational Linguistics

    1 publications · 198 citations

    1

    h-index

  2. English for Specific Purposes

    1 publications · 78 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 35 citations

    1

    h-index

1–3