GeoExT 2025
Geographic Information Extraction from Texts 2025

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 4 as regular papers and 3 as short papers.

• Comparing Geospatiality of Topics between Geotag- and Geoparsing-based Geolocations 1-5
  Johannes Mast, Richard Lemoine-Rodríguez, Vanessa Rittlinger, Christian Geiß, Hannes Taubenböck
• A Geoparsing Pipeline for Multilingual Social Media Posts from Ukraine 6-17
  Maxim Mironov, Alexander Marquard, Daniel Racek, Christian Heumann, Paul W. Thurner, Matthias Aßenmacher
• Extracting Spatial Entities Involved in the Description of a Movement Action Using Deep Learning Methods: A Comparative Study of Three Models 18-27
  Abdelkrim Tafer, Mauro Gaio
• Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets 28-37
  Shanshan Bai, Anna Kruspe, Xiaoxiang Zhu
• Assessing Performance in Extracting Topological, Direction and Distance Spatial Relations from Reddit using LLMs 38-45
  Paddy Smith, Ed Manley, Myles Gould
• Scalable Toponym Resolution with LLMs: Accuracy and Speed Optimizations 46-51
  Xuke Hu, Jens Kersten, Friederike Klan
• Biased Geolocation in LLMs: Experiments on Probing LLMs for Geographic Knowledge and Reasoning 52-64
  Mila Stillman, Anna Kruspe