Document-level Evaluation

Document-Level Evaluation is a type of retrieval system assessment that evaluates the relevance of individual documents in isolation, distinguishing itself by focusing on the document as the atomic unit of analysis rather than on passages, sentences, or ranked lists.

72

Publications

4.1K

Citations

239

Authors

97

Institutions

Publications per year

2017–2026

28

Authors

239

  1. WW
    Wendy W. Chapman

    University of Pittsburgh, United States

    2 publications · 183 citations

    2

    h-index

  2. MD
    Menno D.T. de Jong

    University of Twente, Netherlands

    2 publications · 67 citations

    2

    h-index

  3. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    2 publications · 156 citations

    2

    h-index

  4. CK
    Chunyu Kit

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 73 citations

    2

    h-index

  5. PJ
    Peter Jan Schellens

    University of Twente, Netherlands

    2 publications · 141 citations

    2

    h-index

1–5 of 239

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 137 citations

    3

    h-index

  2. International Conference on Computational Linguistics

    Conference · 2 publications · 40 citations

    2

    h-index

  3. BMC Bioinformatics

    2 publications · 375 citations

    2

    h-index

  4. Text REtrieval Conference

    Conference · 1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5