GANDR - Georelating Dataset, Metrics, and Evaluation
Year: 2025
Type: conference-paper
Abstract: Georelating has been introduced to learn geospatial representations of events from textual reports, which requires the interpretation of spatial relations. To foster the development and evaluation of Georelating systems, we construct the silver-standard Georelating Annotated Natural Disaster Reports dataset GANDR and benchmark our LLM agent architecture as a baseline (areal F1 = 0.609, fuzzy cell match score = 0.833) for this new task.
Authors: Kai Moltzen, Ricardo Usbeck
Institution: Leuphana University of Lüneburg
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7116044803