Skills Extraction

Skills Extraction is a computational method within the field of resume screening that identifies and isolates specific qualifications, competencies, and abilities from unstructured textual data in resumes by leveraging natural language processing techniques to distinguish relevant skill indicators from other informational content.

67

Publications

2.2K

Citations

219

Authors

96

Institutions

Publications per year

2017–2026

56

Authors

219

  1. FJ
    Faizan Javed

    University of Alabama at Birmingham, United States

    2 publications · 60 citations

    2

    h-index

  2. AT
    Andrei Ternikov

    National Research University Higher School of Economics, Russia

    2 publications · 41 citations

    2

    h-index

  3. MM
    Matt McNair

    University of Florida, United States

    2 publications · 60 citations

    2

    h-index

  4. FC
    Filippo Chiarello

    University of Pisa, Italy

    2 publications · 143 citations

    2

    h-index

  5. GF
    Gualtiero Fantoni

    University of Pisa, Italy

    2 publications · 143 citations

    2

    h-index

1–5 of 219

Venues

  1. Sustainability

    3 publications · 58 citations

    3

    h-index

  2. Procedia Computer Science

    3 publications · 53 citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 114 citations

    2

    h-index

  4. IEEE Access

    2 publications · 114 citations

    2

    h-index

  5. 1

    h-index

1–5