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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
| Redaktører | Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue |
| Antal sider | 21 |
| Udgivelsessted | Torino, Italia |
| Forlag | ELRA and ICCL |
| Publikationsdato | 1 maj 2024 |
| Sider | 12053-12073 |
| Status | Udgivet - 1 maj 2024 |
| Begivenhed | Joint International Conference on Computational Linguistics, Language Resources and Evaluation - Torino, Italien Varighed: 20 maj 2024 → 25 maj 2024 https://aclanthology.org/2024.lrec-main.544/ https://aclanthology.org/2024.lrec-main.1054/ |
Konference
| Konference | Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
|---|---|
| Land/Område | Italien |
| By | Torino |
| Periode | 20/05/2024 → 25/05/2024 |
| Internetadresse |
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