Naturalness Optimization

Naturalness Optimization is a methodological framework within dialogue adaptation that systematically enhances the fluency, coherence, and human-likeness of generated conversational responses by aligning syntactic, semantic, and pragmatic patterns with those observed in natural human discourse.

27

Publications

1.3K

Citations

123

Authors

38

Institutions

Publications per year

2017–2026

15

Authors

123

  1. ZZ
    Zhenyang Zhu

    University of Yamanashi, Japan

    3 publications · 107 citations

    3

    h-index

  2. IF
    Issei Fujishiro

    Keio University, Japan

    3 publications · 107 citations

    3

    h-index

  3. KK
    Kenji Kashiwagi

    University of Yamanashi, Japan

    3 publications · 107 citations

    3

    h-index

  4. MT
    Masahiro Toyoura

    University of Yamanashi, Japan

    3 publications · 107 citations

    3

    h-index

  5. XM
    Xiaoyang Mao

    University of Yamanashi, Japan

    3 publications · 107 citations

    3

    h-index

1–5 of 123

Venues

  1. The Visual Computer

    2 publications · 42 citations

    2

    h-index

  2. Signal Processing Image Communication

    1 publications · 35 citations

    1

    h-index

  3. Quaternary International

    1 publications · 43 citations

    1

    h-index

  4. Urban forestry & urban greening

    1 publications · 45 citations

    1

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 67 citations

    1

    h-index

1–5