Concepedia

Conversation Matching

Conversation Matching is a computational method that aligns conversational turns or utterances across dialogue sequences by identifying structural, semantic, or pragmatic correspondences, distinguishing it from other message-level matching techniques through its focus on multi-turn interaction coherence.

2

Publications

36

Citations

10

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

10

  1. JZ
    Jiayi Zhang

    California University of Pennsylvania, United States

    1 publications · 18 citations

    1

    h-index

  2. DL
    Dawei Li

    Samsung (United States), United States

    1 publications · 18 citations

    1

    h-index

  3. DK
    Dominique Knutsen

    Centre National de la Recherche Scientifique, France

    1 publications · 18 citations

    1

    h-index

  4. BW
    Bin Wang

    Dalian University of Technology, China

    1 publications · 18 citations

    1

    h-index

  5. EM
    Eric Mayor

    University of Neuchâtel, Switzerland

    1 publications · 18 citations

    1

    h-index

1–5 of 10

Institutions

2

  1. University of Neuchâtel

    Neuchâtel, Switzerland

    1 h-index

    2 publications

    36 citations

  2. Sciences Cognitives et Sciences Affectives

    Villeneuve-d'Ascq, France

    1 h-index

    1 publications

    18 citations

1–2 of 2

Venues

  1. 1

    h-index

  2. Collabra Psychology

    1 publications · 18 citations

    1

    h-index

1–2