Schema-guided Information Extraction

Schema-Guided Information Extraction is a form of information extraction that incorporates a predefined schema to constrain and guide the identification, classification, and structuring of extracted entities and relations, distinguishing it from schema-agnostic approaches by leveraging explicit domain-specific or task-specific structural knowledge during the extraction process.

49

Publications

1.8K

Citations

142

Authors

72

Institutions

Publications per year

2017–2026

6

Authors

142

  1. RB
    Rongfang Bie

    Beijing Normal University, China

    2 publications · 87 citations

    2

    h-index

  2. YS
    Yunchuan Sun

    Beijing Normal University, China

    2 publications · 87 citations

    2

    h-index

  3. XM
    Xiaofeng Meng

    Renmin University of China, China

    2 publications · 84 citations

    2

    h-index

  4. CL
    Cheng Lü

    Nanyang Normal University, China

    2 publications · 87 citations

    2

    h-index

  5. PM
    Paolo Merialdo

    Roma Tre University, Italy

    2 publications · 83 citations

    2

    h-index

1–5 of 142

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 125 citations

    2

    h-index

  2. Data & Knowledge Engineering

    DKE · 2 publications · 287 citations

    2

    h-index

  3. International Workshop on the Web and Databases

    Conference · 1 publications · 20 citations

    1

    h-index

  4. Journal of Computer Science and Technology

    1 publications · 20 citations

    1

    h-index

  5. Applications of Natural Language to Data Bases

    Conference · 1 publications · 10 citations

    1

    h-index

1–5