The workshop welcomes contributions in all topics related to geographic information extraction from texts, focused (but not limited) to:

  • Advances in toponym recognition, resolution, and document-level geocoding

  • Scalable and resource-efficient geographic information extraction

  • Advanced geocoding methods supporting spatial footprints and extents

  • Geographic information extraction for underrepresented languages, regions, and text types

  • Geographic biases, robustness, uncertainty, explainability, and reliability of GeoExT systems

  • Methods for interpreting historical and ancient toponyms in interdisciplinary contexts

  • Techniques for handling complex location descriptions in text

  • Geospatial knowledge graph construction from unstructured texts

  • Fusion of text-based geographic information with other spatial data sources

  • Developing high-quality gazetteers for underrepresented regions

  • Development and annotation of datasets designed for the requirements of different applications

  • Evaluation methodologies, benchmarks, reproducibility, error analysis, and uncertainty quantification for GeoExT

  • Novel applications showcasing the use of geographic information embedded in texts

  • LLMs, vision-language models and retrieval-augmented approaches for geographic information extraction, including their efficiency, reliability and geographic biases

  • Integration of extracted geographic information into information retrieval systems, including geographic search, spatial indexing, location-aware ranking, and geo-aware retrieval-augmented generation.