Dependency Features

Dependency Features is a syntactic representation in natural language processing that captures grammatical relationships between words in a sentence through directed links indicating hierarchical dependencies, distinguishing it from other text features by encoding structural connections based on dependency grammar.

206

Publications

15.8K

Citations

580

Authors

242

Institutions

Publications per year

2017–2026

70

Variants

Dependency-based Features

Authors

580

  1. YM
    Yūji Matsumoto

    Nara Institute of Science and Technology, Japan

    5 publications · 218 citations

    5

    h-index

  2. YZ
    Yue Zhang

    Westlake University, China

    4 publications · 440 citations

    4

    h-index

  3. YG
    Yoav Goldberg

    Bar-Ilan University, Israel

    4 publications · 881 citations

    4

    h-index

  4. MZ
    Min Zhang

    Soochow University, China

    4 publications · 118 citations

    4

    h-index

  5. MZ
    Meishan Zhang

    Tianjin University, China

    4 publications · 93 citations

    4

    h-index

1–5 of 580

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 390 citations

    11

    h-index

  2. IEEE Access

    5 publications · 142 citations

    5

    h-index

  3. 4

    h-index

  4. Knowledge-Based Systems

    3 publications · 112 citations

    3

    h-index

  5. Neurocomputing

    3 publications · 122 citations

    3

    h-index

1–5