Conversation State Tracking

Conversation State Tracking is a computational framework within conversational interfaces that maintains and updates the evolving context of a dialogue by identifying and representing the user’s intentions and information needs at each turn.

52

Publications

2.3K

Citations

198

Authors

56

Institutions

Publications per year

2017–2026

38

Variants

Dialogue State Tracking

Authors

198

  1. DH
    Dilek Hakkani‐Tür

    Microsoft (United States), United States

    5 publications · 338 citations

    5

    h-index

  2. SA
    Sanchit Agarwal

    The Ohio State University, United States

    4 publications · 321 citations

    4

    h-index

  3. CX
    Caiming Xiong

    Salesforce (United States), United States

    4 publications · 242 citations

    4

    h-index

  4. SG
    Shuyang Gao

    University of Southern California, United States

    4 publications · 321 citations

    4

    h-index

  5. AS
    Abhishek Sethi

    University of Illinois Chicago, United States

    4 publications · 321 citations

    4

    h-index

1–5 of 198

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 437 citations

    12

    h-index

  2. Computer Speech & Language

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5