Multi-pass Sieve Systems

Multi-Pass Sieve Systems is a deterministic coreference resolution framework that sequentially applies increasingly permissive matching rules across multiple passes to link entity mentions, distinguishing itself from single-pass or probabilistic methods by iteratively refining coreference decisions through layered constraints.

11

Publications

1.1K

Citations

38

Authors

12

Institutions

Publications per year

2017–2026

0

Authors

38

  1. VN
    Vincent Ng

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 144 citations

    3

    h-index

  2. DJ
    Dan Jurafsky

    Stanford University, United States

    2 publications · 673 citations

    2

    h-index

  3. MS
    Mihai Surdeanu

    University of Arizona, United States

    2 publications · 673 citations

    2

    h-index

  4. NC
    Nathanael Chambers

    United States Naval Academy, United States

    2 publications · 542 citations

    2

    h-index

  5. HL
    Heeyoung Lee

    Tokyo Institute of Technology, Japan

    2 publications · 673 citations

    2

    h-index

1–5 of 38

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 41 citations

    2

    h-index

  2. Database

    1 publications · 13 citations

    1

    h-index

  3. Conference on Computational Natural Language Learning

    Conference · 1 publications · 347 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of KIISE

    1 publications · 10 citations

    1

    h-index

1–5