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Found 4 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.
Global Open Resources and Information for Language and Linguistic Analysis (GORILLA)
GORILLA is designed as an interface between digital language archive services and language data producers.
Visualization of Language Relations and Families: MultiTree
MultiTree is an NFS-funded project collecting scholarly hypotheses about language relationships, and visualizing them on a web site in the form of trees or graphs.
