Question Understanding

Question Understanding is a computational framework within the field of question answering that specifically enables the interpretation of a user's natural language query by identifying its semantic structure, intent, and constraints to support accurate answer generation.

652

Publications

51K

Citations

1.9K

Authors

493

Institutions

Publications per year

2017–2026

325

Authors

1.9K

  1. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    10 publications · 1.4K citations

    10

    h-index

  2. LZ
    Luke Zettlemoyer

    University of Washington, United States

    11 publications · 727 citations

    10

    h-index

  3. MG
    Matt Gardner

    Allen Institute for Artificial Intelligence, United States

    9 publications · 574 citations

    9

    h-index

  4. JG
    Jianfeng Gao

    Microsoft (United States), United States

    8 publications · 631 citations

    8

    h-index

  5. FW
    Furu Wei

    Microsoft Research Asia (China), China

    8 publications · 1.1K citations

    8

    h-index

1–5 of 1.9K

Venues

  1. arXiv (Cornell University)

    Repository · 83 publications · 9.4K citations

    36

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 798 citations

    13

    h-index

  3. International Conference on Computational Linguistics

    Conference · 6 publications · 112 citations

    6

    h-index

  4. Education and Information Technologies

    5 publications · 115 citations

    5

    h-index

  5. Information Processing & Management

    5 publications · 129 citations

    5

    h-index

1–5