Concepedia

Document Understanding

Document Understanding is a computational framework that enables machines to extract, interpret, and reason about semantic content and structure from unstructured or semi-structured documents, distinguishing it from related information processing tasks by its focus on holistic, context-aware comprehension at the document level.

360

Publications

30.9K

Citations

1.2K

Authors

321

Institutions

Publications per year

2017–2026

144

Parents

Publications

360

ROUGE: A Package for Automatic Evaluation of Summaries

Chin-Yew Lin · 2004 · 8.3K citations

, , +13

Teaching Machines to Read and Comprehend

Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette et al. · Oxford University Research Archive (ORA) (University of Oxford) · 2015 · 1.9K citations · Full text

, , +17

Teaching Machines to Read and Comprehend

Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette et al. · arXiv (Cornell University) · 2015 · 1.5K citations · Full text

, , +17

Message Understanding Conference-6

Ralph Grishman, Beth Sundheim · 1996 · 1.4K citations · Full text

, , +13

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

2020 · 586 citations · Full text

, , +12

1–5 of 360

Authors

1.2K

  1. FW
    Furu Wei

    Microsoft Research Asia (China), China

    9 publications · 900 citations

    9

    h-index

  2. AD
    Andreas Dengel

    German Research Centre for Artificial Intelligence, Germany

    9 publications · 675 citations

    9

    h-index

  3. YX
    Yiheng Xu

    Microsoft Research Asia (China), China

    9 publications · 900 citations

    9

    h-index

  4. AN
    Ani Nenkova

    University of Pennsylvania, United States

    7 publications · 628 citations

    7

    h-index

  5. CZ
    Cha Zhang

    Microsoft (United States), United States

    5 publications · 718 citations

    5

    h-index

1–5 of 1.2K

Institutions

321

  1. University of Washington

    Seattle, United States

    13 h-index

    23 publications

    1.1K citations

  2. Microsoft (United States)

    Redmond, United States

    13 h-index

    38 publications

    4K citations

  3. German Research Centre for Artificial Intelligence

    Kaiserslautern, Germany

    11 h-index

    32 publications

    2.7K citations

  4. National University of Singapore

    Singapore, Singapore

    9 h-index

    20 publications

    511 citations

  5. Microsoft Research Asia (China)

    Beijing, China

    8 h-index

    30 publications

    6.6K citations

  6. Zhejiang University

    Hangzhou, China

    7 h-index

    22 publications

    1.5K citations

  7. Google (United States)

    Mountain View, United States

    7 h-index

    31 publications

    26.2K citations

  8. Columbia University

    New York, United States

    7 h-index

    16 publications

    1.1K citations

1–8 of 321

Venues

  1. arXiv (Cornell University)

    Repository · 30 publications · 2.5K citations

    18

    h-index

  2. 8

    h-index

  3. 4

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 258 citations

    4

    h-index

  5. Pattern Recognition

    3 publications · 137 citations

    3

    h-index

1–5