Mention Detection

Mention Detection is a computational task in natural language processing that identifies and extracts noun phrases or pronouns in text which refer to entities, distinguishing it from other linguistic analyses by its exclusive focus on locating potential referential expressions for subsequent coreference resolution.

325

Publications

17.4K

Citations

899

Authors

300

Institutions

Publications per year

2017–2026

130

Variants

Mention Extraction

Authors

899

  1. MS
    Michael Strube

    Washington University in St. Louis, United States

    9 publications · 709 citations

    9

    h-index

  2. XL
    Xiaoqiang Luo

    IBM Research - Thomas J. Watson Research Center, United States

    7 publications · 497 citations

    7

    h-index

  3. IZ
    Imed Zitouni

    Microsoft (United States), United States

    7 publications · 206 citations

    7

    h-index

  4. VN
    Vincent Ng

    The University of Texas at Dallas, United States

    7 publications · 441 citations

    7

    h-index

  5. LZ
    Luke Zettlemoyer

    University of Washington, United States

    7 publications · 542 citations

    7

    h-index

1–5 of 899

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 602 citations

    12

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 345 citations

    10

    h-index

  3. 6

    h-index

  4. Computational Linguistics

    4 publications · 549 citations

    4

    h-index

  5. 4

    h-index

1–5