Concepedia

Question Answering Systems

Question Answering Systems is a computational framework within natural language understanding that enables machines to generate precise responses to natural language queries by extracting or synthesizing answers from structured or unstructured knowledge sources, thereby distinguishing it from general information retrieval or dialogue systems through its focus on accuracy, relevance, and comprehension of intent.

3.4K

Publications

217.2K

Citations

7.9K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.7K

Parents

Publications

3.4K

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 2016 · 6.3K citations · Full text

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VQA: Visual Question Answering

Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu et al. · 2015 · 4.3K citations

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GPT-3: Its Nature, Scope, Limits, and Consequences

Luciano Floridi, Massimo Chiriatti · Minds and Machines · 2020 · 2.2K citations · Full text

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Know What You Don’t Know: Unanswerable Questions for SQuAD

Pranav Rajpurkar, Robin Jia, Percy Liang · 2018 · 2.2K citations · Full text

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Natural Questions: A Benchmark for Question Answering Research

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield et al. · Transactions of the Association for Computational Linguistics · 2019 · 2K citations · Full text

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1–5 of 3.4K

Authors

7.9K

  1. JL
    Jimmy Lin

    University of Waterloo, Canada

    42 publications · 3K citations

    26

    h-index

  2. HH
    Hannaneh Hajishirzi

    University of Washington, United States

    33 publications · 4.3K citations

    26

    h-index

  3. PE
    Peter E. Clark

    Vanderbilt University Medical Center, United States

    34 publications · 2.2K citations

    24

    h-index

  4. PL
    Percy Liang

    Stanford University, United States

    24 publications · 16.9K citations

    23

    h-index

  5. AM
    Alessandro Moschitti

    University of Trento, Italy

    30 publications · 1.9K citations

    21

    h-index

1–5 of 7.9K

Institutions

1.5K

  1. Microsoft (United States)

    Redmond, United States

    41 h-index

    217 publications

    30.8K citations

  2. University of Washington

    Seattle, United States

    39 h-index

    210 publications

    29.3K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    38 h-index

    199 publications

    23.8K citations

  4. Stanford University

    Stanford, United States

    37 h-index

    150 publications

    45.1K citations

  5. Google (United States)

    Mountain View, United States

    36 h-index

    242 publications

    74.8K citations

  6. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    34 h-index

    124 publications

    20.2K citations

  7. IBM (United States)

    Armonk, United States

    31 h-index

    173 publications

    12.8K citations

  8. Allen Institute for Artificial Intelligence

    Seattle, United States

    30 h-index

    130 publications

    18.4K citations

1–8 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 378 publications · 23.9K citations

    69

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 71 publications · 4.7K citations

    37

    h-index

  3. IEEE Access

    35 publications · 976 citations

    19

    h-index

  4. Text REtrieval Conference

    Conference · 33 publications · 1.3K citations

    19

    h-index

  5. Natural Language Engineering

    22 publications · 2.7K citations

    17

    h-index

1–5