Doms, NicolasWoernle, LisaHahnWohlgemuth, VolkerKranzlmüller, DieterHöb, Maximilian2023-12-152023-12-152023978-3-88579-736-4https://dl.gi.de/handle/20.500.12116/43332This publication aims to explore the capabilities of the Stanza NLP library on one hand and Graph Neural Networks on the other hand by combining them in a time token classification task. After providing information on the German ”WikiWarsDE” dataset that is used for training, the evaluation dataset consisting of environmental documents as well as the transformations applied to both datasets to enhance the model, the setup of the Neural Network is presented. Afterwards, some early test results are evaluated before possible enhancements to the model are suggested.enGraph Neural NetworkEntity RecognitionMachine LearningArtificial IntelligenceChronological Classification of Environmental DocumentsText/Conference Paper10.18420/env2023-0121617-5468