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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
| Editors | Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue |
| Number of pages | 21 |
| Place of Publication | Torino, Italia |
| Publisher | ELRA and ICCL |
| Publication date | 1 May 2024 |
| Pages | 12053-12073 |
| Publication status | Published - 1 May 2024 |
| Event | Joint International Conference on Computational Linguistics, Language Resources and Evaluation - Torino, Italy Duration: 20 May 2024 → 25 May 2024 https://aclanthology.org/2024.lrec-main.544/ https://aclanthology.org/2024.lrec-main.1054/ |
Conference
| Conference | Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
|---|---|
| Country/Territory | Italy |
| City | Torino |
| Period | 20/05/2024 → 25/05/2024 |
| Internet address |
Keywords
- Temporal annotation
- NarrativeTime
- TLINKs
- TimeBankNT
- TimeML
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