Analogy Detection

Analogy Detection is a methodological approach in computational linguistics and cognitive science that identifies structurally similar relations between distinct domains by mapping correspondences between source and target analogs based on relational alignment rather than surface-level features.

82

Publications

8.4K

Citations

182

Authors

103

Institutions

Publications per year

2017–2026

23

Authors

182

  1. DB
    Danushka Bollegala

    University of Liverpool, United Kingdom

    5 publications · 184 citations

    5

    h-index

  2. KK
    Ken‐ichi Kawarabayashi

    National Institute of Informatics, Japan

    4 publications · 110 citations

    4

    h-index

  3. TM
    Takanori Maehara

    National Institute of Informatics, Japan

    4 publications · 110 citations

    4

    h-index

  4. JL
    Julie Linsey

    Georgia Institute of Technology, United States

    2 publications · 300 citations

    3

    h-index

  5. AK
    Aniket Kittur

    Carnegie Mellon University, United States

    3 publications · 115 citations

    3

    h-index

1–5 of 182

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 76 citations

    3

    h-index

  2. International Journal of Intelligent Systems

    2 publications · 41 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 55 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 2 publications · 210 citations

    2

    h-index

1–5