Aspect Annotation

Aspect Annotation is a type of semantic annotation that identifies and classifies fine-grained, topic-specific contributions within academic texts, distinguishing itself by focusing on the conceptual roles of elements such as methods, models, frameworks, or datasets in relation to their research domains.

78

Publications

6.4K

Citations

291

Authors

125

Institutions

Publications per year

2017–2026

46

Variants

Aspect-based Annotation

Authors

291

  1. HY
    Heng Yang

    South China Normal University, China

    3 publications · 218 citations

    3

    h-index

  2. RX
    Ruyang Xu

    South China Normal University, China

    2 publications · 169 citations

    2

    h-index

  3. SM
    Suresh Manandhar

    University of York, United Kingdom

    2 publications · 3K citations

    2

    h-index

  4. JY
    Jianhao Yang

    South China Normal University, China

    2 publications · 169 citations

    2

    h-index

  5. DA
    Daniel Amyot

    University of Ottawa, Canada

    2 publications · 32 citations

    2

    h-index

1–5 of 291

Venues

  1. Knowledge-Based Systems

    6 publications · 494 citations

    6

    h-index

  2. Information Processing & Management

    4 publications · 257 citations

    4

    h-index

  3. Artificial Intelligence Review

    3 publications · 282 citations

    3

    h-index

  4. Expert Systems with Applications

    3 publications · 82 citations

    3

    h-index

  5. Journal of Intelligent Information Systems

    2 publications · 46 citations

    2

    h-index

1–5