| Vol-3683 urn:nbn:de:0074-3683-4 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# GeoExT 2024
Geographic Information Extraction from Texts 2024

### Proceedings of The GeoExT 2024: Geographic Information Extraction from Texts Workshop
co-located with The 46th European Conference on Information Retrieval (ECIR)

### Glasgow, Scotland, March 24, 2024.

Edited by

### Xuke Hu, German Aerospace Center, Germany
Ross Purves, University of Zurich, Switzerland
Ludovic Moncla, INSA Lyon, France
Jens Kersten, German Aerospace Center, Germany
Kristin Stock, Massey University, New Zealand

## Table of Contents

Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 8 as regular papers and 4 as short papers.

- Preface
  Xuke Hu, Ross Purves, Ludovic Moncla, Jens Kersten, Kristin Stock
- GeoEDdA: A Gold Standard Dataset for Geo-semantic Annotation of Diderot & d'Alembert's Encyclopédie 1-10
  Ludovic Moncla, Denis Vigier, Katherine McDonough
- Geolocation Extraction From Reddit Text Data 11-20
  Mila Stillman, Anna Kruspe
- Detecting Entity Descriptions from Chinese Historical Texts 21-24
  Ye Xia, Bin Wang, Linxuan Yu, Xiaoci Lin, Hui Li
- Towards a Scalable Geoparsing Approach for the Web 25-33
  Sheikh Mastura Farzana, Tobias Hecking
- Where is the News? Improving Toponym Identification and Differentiation in Online News 34-42
  Joseph Shingleton, Ana Basiri
- Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate Ranking 43-51
  Diego Gomes, Ross S. Purves, Michele Volpi
- Enhancing Toponym Resolution with Fine-Tuned LLMs (Llama2) 52-56
  Xuke Hu, Jens Kersten
- Evidence for Systematic Bias in the Spatial Memory of Large Language Models 57-62
  Nir Fulman, Abdulkadir Memduhoğlu, Alexander Zipf
- Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction 63-73
  Erum Haris, Anthony G. Cohn, John G. Stell
- Mapping Global Protest Tendencies: Geolocating Trends and Topics Through Wikipedia Analysis 74-78
  Jiyun Beak, Ludovic Moncla
- The Semantics of Generic Terms in Toponyms: Formal Semantics Meets Multi-source Big Data 79-90
  Giuseppe Samo, Francesco-Alessio Ursini
- Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text? 91-105
  Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi, Xiaowei Gao, James Haworth

2024-04-17: submitted by Xuke Hu, metadata incl. bibliographic data published under Creative Commons CC0
2024-05-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|