Intent Annotation

Intent Annotation is a scholarly contribution within the domain of Knowledge Annotation that specifically identifies, classifies, or formalizes the underlying purpose or goal of an information-seeking action, thereby enabling systems to interpret and respond to user queries according to their intended objectives.

21

Publications

520

Citations

95

Authors

36

Institutions

Publications per year

2017–2026

14

Authors

95

  1. YL
    Yu Li

    King Abdullah University of Science and Technology, Saudi Arabia

    2 publications · 31 citations

    2

    h-index

  2. ZY
    Zhou Yu

    University of California, Davis, United States

    2 publications · 31 citations

    2

    h-index

  3. MH
    Meichun Hsu

    Hewlett-Packard (United States), United States

    2 publications · 79 citations

    2

    h-index

  4. KQ
    Kun Qian

    IBM Research - Almaden, United States

    2 publications · 31 citations

    2

    h-index

  5. RG
    Riddhiman Ghosh

    Hewlett-Packard (United States), United States

    2 publications · 79 citations

    2

    h-index

1–5 of 95

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 29 citations

    2

    h-index

  2. Knowledge-Based Systems

    1 publications · 39 citations

    1

    h-index

  3. BMC Medical Informatics and Decision Making

    1 publications · 31 citations

    1

    h-index

  4. Applied Intelligence

    1 publications · 10 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5