Sentence-level Relation Extraction

Sentence-Level Relation Extraction is a relation extraction task that identifies and classifies semantic relations between named entities within individual sentences, distinguishing it from document-level or cross-sentence approaches by focusing exclusively on intra-sentential linguistic context.

286

Publications

25.6K

Citations

868

Authors

259

Institutions

Publications per year

2017–2026

186

Authors

868

  1. JZ
    Jun Zhao

    Chinese Academy of Sciences, China

    7 publications · 2.8K citations

    7

    h-index

  2. KL
    Kang Liu

    Chinese Academy of Sciences, China

    6 publications · 2.7K citations

    6

    h-index

  3. GZ
    Guodong Zhou

    Soochow University, China

    6 publications · 358 citations

    6

    h-index

  4. ZL
    Zhiyuan Liu

    Tsinghua University, China

    5 publications · 1.3K citations

    5

    h-index

  5. YC
    Yanping Chen

    Guizhou University, China

    5 publications · 124 citations

    5

    h-index

1–5 of 868

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 1.8K citations

    20

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 17 publications · 1.3K citations

    15

    h-index

  3. BMC Bioinformatics

    6 publications · 150 citations

    6

    h-index

  4. IEEE Access

    7 publications · 206 citations

    6

    h-index

  5. Bioinformatics

    5 publications · 163 citations

    5

    h-index

1–5