Similarity Scoring

Similarity Scoring is a methodological technique in message matching that quantifies the degree of correspondence between two messages by evaluating their semantic or structural likeness relative to other alignment approaches.

367

Publications

31.2K

Citations

1.1K

Authors

444

Institutions

Publications per year

2017–2026

100

Authors

1.1K

  1. LH
    Lushan Han

    University of Maryland, Baltimore County, United States

    3 publications · 380 citations

    3

    h-index

  2. IG
    Iryna Gurevych

    Technische Universität Darmstadt, Germany

    3 publications · 157 citations

    3

    h-index

  3. EA
    Eneko Agirre

    University of the Basque Country, Spain

    3 publications · 449 citations

    3

    h-index

  4. AG
    Aitor González-Agirre

    University of the Basque Country, Spain

    3 publications · 449 citations

    3

    h-index

  5. TZ
    Torsten Zesch

    Technische Universität Darmstadt, Germany

    3 publications · 134 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Expert Systems with Applications

    7 publications · 235 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 1K citations

    7

    h-index

  3. Bioinformatics

    5 publications · 236 citations

    5

    h-index

  4. IEEE Access

    5 publications · 264 citations

    5

    h-index

  5. Information Processing & Management

    4 publications · 158 citations

    4

    h-index

1–5