Multi-relation Extraction

Multi-Relation Extraction is a relation extraction task that identifies and classifies multiple distinct semantic relations coexisting within a single textual context, distinguishing it from single-relation approaches by addressing overlapping and simultaneous relations among entity pairs.

31

Publications

2.4K

Citations

134

Authors

54

Institutions

Publications per year

2017–2026

20

Authors

134

  1. MY
    Mo Yu

    IBM (United States), United States

    2 publications · 112 citations

    2

    h-index

  2. HW
    Haoyu Wang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 112 citations

    2

    h-index

  3. NZ
    Ningyu Zhang

    Zhejiang University, China

    2 publications · 250 citations

    2

    h-index

  4. XG
    Xiaoxiao Guo

    IBM (United States), United States

    2 publications · 112 citations

    2

    h-index

  5. SP
    Saloni Potdar

    IBM (United States), United States

    2 publications · 112 citations

    2

    h-index

1–5 of 134

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 68 citations

    5

    h-index

  2. Applied Sciences

    2 publications · 32 citations

    2

    h-index

  3. 1

    h-index

  4. Bioinformatics Advances

    1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5