Semantic Role Labeling

Semantic Role Labeling is a natural language processing task that automatically identifies the predicates in a sentence, detects their associated arguments, and assigns each argument a semantic role label specifying its underlying relationship to the predicate within the sentence’s predicate-argument structure.

660

Publications

44K

Citations

1.4K

Authors

485

Institutions

Publications per year

2017–2026

210

Authors

1.4K

  1. MP
    Martha Palmer

    University of Colorado Boulder, United States

    25 publications · 4K citations

    20

    h-index

  2. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    17 publications · 1.3K citations

    17

    h-index

  3. HZ
    Hai Zhao

    Shanghai Jiao Tong University, China

    16 publications · 942 citations

    14

    h-index

  4. LM
    Lluı́s Màrquez

    Universitat Politècnica de Catalunya, Spain

    15 publications · 1.9K citations

    14

    h-index

  5. ZL
    Zuchao Li

    Shanghai Jiao Tong University, China

    14 publications · 959 citations

    12

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 29 publications · 1.6K citations

    20

    h-index

  2. Computational Linguistics

    17 publications · 5.7K citations

    17

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 1.3K citations

    13

    h-index

  4. International Conference on Computational Linguistics

    Conference · 12 publications · 515 citations

    11

    h-index

  5. Meeting of the Association for Computational Linguistics

    Conference · 7 publications · 240 citations

    7

    h-index

1–5