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Graph-Based Time Token Recognition using Graph Neural Networks and Stanza Library

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Datum

2023

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Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

This 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.

Beschreibung

Doms, Nicolas; Woernle, LisaHahn (2023): Graph-Based Time Token Recognition using Graph Neural Networks and Stanza Library. EnviroInfo 2023. DOI: 10.18420/env2023-012. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-736-4. pp. 135-142. Innovative Approaches and Solutions. Garching, Germany. 11.-13. Oktober 2023

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