Discourse Entity Tracking

Discourse Entity Tracking is a computational process in natural language understanding that identifies and maintains the referential status of entities across a text, distinguishing itself by systematically associating anaphoric expressions with their antecedents through dynamic representation of discourse context.

12

Publications

1.3K

Citations

24

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

24

  1. SK
    Sosuke Kobayashi

    Preferred Networks (Japan), Japan

    1 publications · 12 citations

    1

    h-index

  2. EM
    Ellen M. Voorhees

    National Institute of Standards and Technology, United States

    1 publications · 329 citations

    1

    h-index

  3. TL
    Tal Linzen

    New York University, United States

    1 publications · 14 citations

    1

    h-index

  4. CP
    Carl Pollard

    The Ohio State University, United States

    1 publications · 540 citations

    1

    h-index

  5. MW
    Marilyn Walker Friedman

    Hewlett-Packard (United States), United States

    1 publications · 540 citations

    1

    h-index

1–5 of 24

Venues

  1. Computer Speech & Language

    1 publications · 16 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. International Journal of Speech Technology

    1 publications · 24 citations

    1

    h-index

  4. Computational Linguistics

    1 publications · 198 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 37 citations

    1

    h-index

1–5