Semantic Relation Extraction

Semantic Relation Extraction is a computational task within natural language processing that identifies and classifies semantic relationships between entities or phrases in text, distinguishing it from syntactic analysis by focusing on meaning-based associations rather than grammatical structure.

1.2K

Publications

76.5K

Citations

3.1K

Authors

775

Institutions

Publications per year

2017–2026

525

Authors

3.1K

  1. ZL
    Zhiyuan Liu

    Tsinghua University, China

    21 publications · 4.1K citations

    19

    h-index

  2. MS
    Maosong Sun

    Tsinghua University, China

    18 publications · 3.5K citations

    16

    h-index

  3. GW
    Gerhard Weikum

    Max Planck Institute for Informatics, Germany

    12 publications · 4.5K citations

    12

    h-index

  4. YL
    Yankai Lin

    Tsinghua University, China

    12 publications · 2.8K citations

    12

    h-index

  5. DR
    Dan Roth

    University of Illinois Urbana-Champaign, United States

    11 publications · 784 citations

    11

    h-index

1–5 of 3.1K

Venues

  1. arXiv (Cornell University)

    Repository · 57 publications · 2.3K citations

    23

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 22 publications · 1.4K citations

    19

    h-index

  3. Knowledge-Based Systems

    18 publications · 527 citations

    16

    h-index

  4. BMC Bioinformatics

    18 publications · 646 citations

    14

    h-index

  5. Neurocomputing

    12 publications · 629 citations

    11

    h-index

1–5