NarrativeTime: Dense Temporal Annotation on a Timeline
Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky
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 the classic TimeBankDense corpus (American English), which shows comparable agreement with a signigicant 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, and baseline results.- Anthology ID:
- 2024.lrec-main.1054
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 12053–12073
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.1054
- DOI:
- Cite (ACL):
- Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, and Anna Rumshisky. 2024. NarrativeTime: Dense Temporal Annotation on a Timeline. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 12053–12073, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- NarrativeTime: Dense Temporal Annotation on a Timeline (Rogers et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/2024.lrec-main.1054.pdf