Automatic Annotation

Automatic Annotation is a computational process within corpus annotation that automatically assigns linguistic or semantic labels to raw text data using predefined rules, algorithms, or machine learning models, distinguishing it from manual or semi-supervised annotation methods by its complete reliance on automated systems.

1.3K

Publications

123.4K

Citations

4.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

372

Authors

4.5K

  1. MB
    Marco Bertini

    University of Florence, Italy

    14 publications · 339 citations

    11

    h-index

  2. AD
    Alberto Del Bimbo

    University of Florence, Italy

    14 publications · 399 citations

    11

    h-index

  3. XH
    Xian‐Sheng Hua

    Microsoft Research Asia (China), China

    10 publications · 489 citations

    10

    h-index

  4. MP
    Massimo Poesio

    University of Essex, United Kingdom

    10 publications · 638 citations

    10

    h-index

  5. RC
    Rita Cucchiara

    University of Modena and Reggio Emilia, Italy

    10 publications · 206 citations

    10

    h-index

1–5 of 4.5K

Venues

  1. Nucleic Acids Research

    21 publications · 31.9K citations

    21

    h-index

  2. Bioinformatics

    25 publications · 5.3K citations

    20

    h-index

  3. arXiv (Cornell University)

    Repository · 35 publications · 1.4K citations

    19

    h-index

  4. IEEE Access

    18 publications · 551 citations

    15

    h-index

  5. BMC Bioinformatics

    16 publications · 1.1K citations

    14

    h-index

1–5