NarrativeTime: Dense Temporal Annotation on a Timeline
Computation and Language
2026-04-15 v2
Abstract
For the past decade, temporal annotation has been sparse: only a small portion of event pairs in a text was annotated. We present NarrativeTime, the first timeline-based annotation framework that achieves full coverage of all possible TLinks. To compare with the previous SOTA in dense temporal annotation, we perform full re-annotation of TimeBankDense corpus, which shows comparable agreement with a significant increase in density. We contribute TimeBankNT corpus (with each text fully annotated by two expert annotators), extensive annotation guidelines, open-source tools for annotation and conversion to TimeML format, baseline results, as well as quantitative and qualitative analysis of inter-annotator agreement.
Keywords
Cite
@article{arxiv.1908.11443,
title = {NarrativeTime: Dense Temporal Annotation on a Timeline},
author = {Anna Rogers and Marzena Karpinska and Ankita Gupta and Vladislav Lialin and Gregory Smelkov and Anna Rumshisky},
journal= {arXiv preprint arXiv:1908.11443},
year = {2026}
}