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Found 2 papers, 1 papers with code
Event Sequencing Annotation with TIE-ML
TIE-ML (Temporal Information Event Markup Language) first proposed by Cavar et al. (2021) provides a radically simplified temporal annotation schema for event sequencing and clause level temporal properties even in complex sentences.
Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0
Temporal Information and Event Markup Language (TIE-ML) is a markup strategy and annotation schema to improve the productivity and accuracy of temporal and event related annotation of corpora to facilitate machine learning based model training.
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