Dialog Systems

Dialog Systems is a computational framework designed to enable interactive communication between humans and machines through the generation and interpretation of natural language, distinguished by its capacity to model context-sensitive, goal-oriented, or open-ended conversational exchanges in language learning environments.

4.2K

Publications

226.6K

Citations

9K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.8K

Authors

9K

  1. SY
    Steve Young

    University of Cambridge, United Kingdom

    63 publications · 8.3K citations

    43

    h-index

  2. JG
    Jianfeng Gao

    Microsoft (United States), United States

    59 publications · 8.1K citations

    36

    h-index

  3. OL
    Oliver Lemon

    University of Edinburgh, United Kingdom

    75 publications · 3.2K citations

    33

    h-index

  4. DH
    Dilek Hakkani‐Tür

    Microsoft (United States), United States

    77 publications · 3.1K citations

    30

    h-index

  5. AI
    Alexander I. Rudnicky

    Carnegie Mellon University, United States

    47 publications · 2.4K citations

    28

    h-index

1–5 of 9K

Venues

  1. arXiv (Cornell University)

    Repository · 433 publications · 23.5K citations

    71

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 89 publications · 6.3K citations

    45

    h-index

  3. Computer Speech & Language

    40 publications · 3.2K citations

    23

    h-index

  4. Speech Communication

    30 publications · 1.3K citations

    20

    h-index

  5. Natural Language Engineering

    24 publications · 2.4K citations

    19

    h-index

1–5