@inproceedings{rogers-etal-2024-narrativetime-dense,
title = "{N}arrative{T}ime: Dense Temporal Annotation on a Timeline",
author = "Rogers, Anna and
Karpinska, Marzena and
Gupta, Ankita and
Lialin, Vladislav and
Smelkov, Gregory and
Rumshisky, Anna",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.1054",
pages = "12053--12073",
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.",
}
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%0 Conference Proceedings
%T NarrativeTime: Dense Temporal Annotation on a Timeline
%A Rogers, Anna
%A Karpinska, Marzena
%A Gupta, Ankita
%A Lialin, Vladislav
%A Smelkov, Gregory
%A Rumshisky, Anna
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F rogers-etal-2024-narrativetime-dense
%X 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.
%U https://aclanthology.org/2024.lrec-main.1054
%P 12053-12073
Markdown (Informal)
[NarrativeTime: Dense Temporal Annotation on a Timeline](https://aclanthology.org/2024.lrec-main.1054) (Rogers et al., LREC-COLING 2024)
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.