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20122024
most citedA Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning

187 citations

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cs.CL2022★ 2 cited

Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context

Andreas Troxler, Jürg Schelldorfer

This tutorial demonstrates workflows to incorporate text data into actuarial classification and regression tasks. The main focus is on methods employing transformer-based models. A…