NarrativeTime: Dense Temporal Annotation on a Timeline
- ,
- Marzena Karpinska,
- Ankita Gupta,
- Vladislav Lialin,
- Gregory Smelkov,
- Anna Rumshisky
- ,
- University of Massachusetts
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 12053-12073 (21 pages)Publication milestones
- Published - 01/05/2024
Publication status
Published - 01/05/2024
Place of publication
Torino, ItaliaPublisher
ELRA and ICCLPublication IDs
- Scopus: 85195912978
Host publication title
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)Host publication editors
- Nicoletta Calzolari
- Min-Yen Kan
- Veronique Hoste
- Alessandro Lenci
- Sakriani Sakti
- Nianwen Xue
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.
Publication metrics
PlumX
Citations
8
Access to documents
Final published version, 1.07 MB
Related Event
Title
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Event type
ConferenceDegree of recognition
International eventDate
20/05/2024 - 25/05/2024Location
TorinoItaly
