Span-based Semantic Role Labeling

Span-Based Semantic Role Labeling is a method of semantic role labeling that identifies predicate-argument structures by enumerating text spans as candidate arguments and classifying their semantic roles relative to predicates, distinguishing itself from sequence-level or token-tagging approaches through its explicit span-level argument representation.

12

Publications

650

Citations

33

Authors

15

Institutions

Publications per year

2017–2026

10

Authors

33

  1. LH
    Luheng He

    University of Washington, United States

    3 publications · 222 citations

    3

    h-index

  2. LZ
    Luke Zettlemoyer

    University of Washington, United States

    3 publications · 222 citations

    3

    h-index

  3. OL
    Omer Levy

    University of Washington, United States

    2 publications · 212 citations

    2

    h-index

  4. RN
    Roberto Navigli

    Sapienza University of Rome, Italy

    2 publications · 38 citations

    2

    h-index

  5. ZL
    Zuchao Li

    Shanghai Jiao Tong University, China

    2 publications · 122 citations

    2

    h-index

1–5 of 33

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 33 citations

    2

    h-index

  2. 1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 104 citations

    1

    h-index

1–3