2021/09/28 by Damir Ćavar, Billy Dickson, Cavar, Damir +5
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Natural Language Processing Techniques #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.2109.13892
openalex publication_date 2021/09/28 · openalex created_date 2021/10/11 · openalex updated_date 2026/07/28
Temporal Information and Event Markup Language (TIE-ML) is a markup strategy\nand annotation schema to improve the productivity and accuracy of temporal and\nevent related annotation of corpora to facilitate machine learning based model\ntraining. For the annotation of events, temporal sequencing, and durations, it\nis significantly simpler by providing an extremely reduced tag set for just\ntemporal relations and event enumeration. In comparison to other standards, as\nfor example the Time Markup Language (TimeML), it is much easier to use by\ndropping sophisticated formalisms, theoretical concepts, and annotation\napproaches. Annotations of corpora using TimeML can be mapped to TIE-ML with a\nloss, and TIE-ML annotations can be fully mapped to TimeML with certain\nunder-specification.\n