Road Network Reconstruction Based on Place Name Extraction in Classical Chinese Texts with LLMs
Zhang, Guangwei
Shaanxi Normal University, China, People's Republic of
PDFWe present a method to integrate evidence extracted from texts and maps to reconstruct historical road networks. Our natural language processing approach accurately identifies place names and travel narratives to extract an abstract graph of connections. Aligning this graph with historical maps enables reconstructing plausible roads.
Truth in [Climate] Fiction: Real World Environmental Facts in Unreal Worlds
Algee-Hewitt, Mark Andrew
Stanford University, United States of America
HTML XMLWe use machine learning models to investigate how real-world facts are embedded within the fictional worlds described by Climate Fiction novels. We identify what and how much material in these novels are facts, whether they are supported by the science and how they are distributed through the narrative.
The architectural spatiality of Caspar David Friedrich: An analytical 3D Reconstruction study on the re-elaboration of the space of Eldena Monastery in “Abbey in the Oakwood”.
Esposito, Antonio
DFG - Graduiertenkolleg "Modell Romantik", Germany - Friedrich Schiller University Jena
This study uses 3D digital reconstruction to analyse the architectural spatiality of Caspar David Friedrich's painting "Abbey in the Oakwood". Using the apparent contours of the architectural structure drawn by Friedrich, different reconstructive scenarios have been developed to understand the configuration of the architectural space depicted in this artwork.