Product Attribute Extraction

Product Attribute Extraction is an academic construct within Product Catalog Management that refers to the automated identification and structured representation of salient characteristics from unstructured or semi-structured product data, distinguishing it from related information extraction tasks by its focus on domain-specific, catalog-ready attributes essential for product description, discovery, and standardization.

60

Publications

2.5K

Citations

220

Authors

85

Institutions

Publications per year

2017–2026

33

Authors

220

  1. QW
    Qifan Wang

    Google (United States), United States

    4 publications · 153 citations

    4

    h-index

  2. PP
    Petar Petrovski

    University of Mannheim, Germany

    3 publications · 94 citations

    3

    h-index

  3. TW
    Tak-Lam Wong

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 109 citations

    3

    h-index

  4. WL
    Wai Lam

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 109 citations

    3

    h-index

  5. XH
    Xiaodong He

    Microsoft (United States), United States

    2 publications · 62 citations

    2

    h-index

1–5 of 220

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 44 citations

    3

    h-index

  2. Journal of Economic Psychology

    2 publications · 100 citations

    2

    h-index

  3. International Joint Conference on Natural Language Processing

    Conference · 2 publications · 52 citations

    2

    h-index

  4. 1

    h-index

  5. Artificial Intelligence in Medicine

    AIM · 1 publications · 13 citations

    1

    h-index

1–5