Experience Extraction

Experience Extraction is a computational method in resume screening that identifies and structurally represents professional background elements from unstructured text, distinguishing itself by focusing on the automated recognition of job roles, durations, industries, and responsibilities to support candidate assessment.

11

Publications

212

Citations

38

Authors

20

Institutions

Publications per year

2017–2026

7

Authors

38

  1. IR
    Ilan Reinstein

    New York University, United States

    1 publications · 29 citations

    1

    h-index

  2. VM
    Vahid Mokhtari

    University of Aveiro, Portugal

    1 publications · 22 citations

    1

    h-index

  3. WO
    Wilk Oliveira

    Universidade de São Paulo, Brazil

    1 publications · 19 citations

    1

    h-index

  4. YC
    Yi Chen

    Arizona State University, United States

    1 publications · 11 citations

    1

    h-index

  5. MG
    Matthew Guzdial

    Georgia Institute of Technology, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 38

Venues

  1. Academic Medicine

    1 publications · 29 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 19 citations

    1

    h-index

  4. Wuhan Daxue xuebao. Xinxi kexue ban

    1 publications · 11 citations

    1

    h-index

  5. Journal of Software Evolution and Process

    JSEP · 1 publications · 20 citations

    1

    h-index

1–5