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
Parents
12
A centering approach to pronouns
Susan E. Brennan, Marilyn Walker Friedman, Carl Pollard · 1987 · 540 citations · Full text
Overview of the TREC 2001 Question Answering Track
Ellen M. Voorhees · 2000 · 329 citations
Gestural Viewpoint Signals Referent Accessibility
Sandra Debreslioska, Marianne Gullberg, Pamela Perniss · Discourse Processes · 2013 · 85 citations · Full text
1–5 of 12
24
1
h-index
National Institute of Standards and Technology, United States
1 publications · 329 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 24
14
New York University
New York, United States
1 h-index
2 publications
28 citations
University College London
London, United Kingdom
1 h-index
1 publications
85 citations
Hewlett-Packard (United States)
Palo Alto, United States
1 h-index
3 publications
1.6K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
1 publications
14 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
1 publications
24 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
198 citations

Lund University
Lund, Sweden
1 h-index
2 publications
170 citations
Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
1 h-index
2 publications
28 citations
1–8 of 14
1 publications · 16 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 198 citations
1
h-index
1 publications · 37 citations
1
h-index
1–5