Back to Search
Start Over
End-to-End Neural Discourse Deixis Resolution in Dialogue
- Publication Year :
- 2022
-
Abstract
- We adapt Lee et al.'s (2018) span-based entity coreference model to the task of end-to-end discourse deixis resolution in dialogue, specifically by proposing extensions to their model that exploit task-specific characteristics. The resulting model, dd-utt, achieves state-of-the-art results on the four datasets in the CODI-CRAC 2021 shared task.<br />Comment: Accepted as a long paper to EMNLP 2022
- Subjects :
- Computer Science - Computation and Language
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2211.15980
- Document Type :
- Working Paper