Speculation Detection

Speculation Detection is a natural language processing task that identifies and classifies speculative or hedged statements in text, distinguishing them from factual assertions by analyzing linguistic markers of uncertainty.

69

Publications

2.8K

Citations

211

Authors

98

Institutions

Publications per year

2017–2026

20

Variants

Hedge Detection

Authors

211

  1. SB
    Sabine Bergler

    Concordia University, Canada

    5 publications · 212 citations

    5

    h-index

  2. HK
    Halil Kilicoglu

    United States National Library of Medicine, United States

    5 publications · 212 citations

    5

    h-index

  3. GZ
    Guodong Zhou

    Soochow University, China

    4 publications · 197 citations

    4

    h-index

  4. QZ
    Qiaoming Zhu

    Soochow University, China

    4 publications · 197 citations

    4

    h-index

  5. BZ
    Bowei Zou

    Soochow University, China

    3 publications · 114 citations

    3

    h-index

1–5 of 211

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 38 citations

    2

    h-index

  2. BMC Bioinformatics

    2 publications · 145 citations

    2

    h-index

  3. Applied Sciences

    2 publications · 36 citations

    2

    h-index

  4. Journal of Biomedical Semantics

    JBMS · 2 publications · 59 citations

    2

    h-index

  5. PubMed

    Repository · 1 publications · 22 citations

    1

    h-index

1–5