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NarrativeTime: Dense Temporal Annotation on a Timeline

  • Anna Rogers
  • , Marzena Karpinska
  • , Ankita Gupta
  • , Vladislav Lialin
  • , Gregory Smelkov
  • , Anna Rumshisky

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
EditorsNicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Number of pages21
Place of PublicationTorino, Italia
PublisherELRA and ICCL
Publication date1 May 2024
Pages12053-12073
Publication statusPublished - 1 May 2024
EventJoint International Conference on Computational Linguistics, Language Resources and Evaluation - Torino, Italy
Duration: 20 May 202425 May 2024
https://aclanthology.org/2024.lrec-main.544/
https://aclanthology.org/2024.lrec-main.1054/

Conference

ConferenceJoint International Conference on Computational Linguistics, Language Resources and Evaluation
Country/TerritoryItaly
CityTorino
Period20/05/202425/05/2024
Internet address

Keywords

  • Temporal annotation
  • NarrativeTime
  • TLINKs
  • TimeBankNT
  • TimeML

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