Time and Event Annotation

(C) 2021-2022 Damir Cavar, Ali Abdulaziz Aljubailan, Soyoung Kim, Billy Dickson, Andrew Davis, Matthew Fort, Ludovic Mompelat, Zoran Tiganj, Yuna Won

Our proposed annotation standard for time, events, and temporal relations (sequencing and duration) differs from various existing standards in its simplicity and efficiency, both for annotators and machine learning approaches.

Comparison to TimeML

Team Members

• Dr. Damir Cavar
• Dr. Ali Abdulaziz Aljubailan
• Soyoung Kim
• Billy Dickson
• Andrew Davis
• Matthew Fort
• Dr. Ludovic Mompelat
• Dr. Zoran Tiganj
• Dr. Yuna Won

Publications

• D. Cavar, Z. Tiganj (2022) On tense interpretation in Slavic:A corpus study and computational model. Paper presented at the 17th Annual Conference of the Slavic Linguistic Society, Sapporo, Japan. (Abstract, Slides)

• D. Cavar, A. Aljubailan, L. Mompelat, Y. Won, B. Dickson, M. Fort, A. Davis, S. Kim (2022) Event Sequencing Annotation with TIE-ML (2022) in proceedings of the The Eighteenth Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA-18 2022), at LREC 2022 in Marsaille, France.

• D. Cavar, B. Dickson, A. Aljubailan, S. Kim (2021) Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0, In Proceedings of SEMAPRO 2021, Barcelona, Spain.

• B. Dickson, S. Kim, D. Cavar, A. Aljubailan (2021) Temporal Information and Event Markup Language (TIE ML), Poster, Indiana University.

TIE-ML Data and Tools

• TIE-ML GitHub repo

Links to existing standards

• TimeML (and TIMEX tags)
• THYME
• TimexPortal

Tools

• MedTime