| Vol-3385 urn:nbn:de:0074-3385-1 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
Geographic Information Extraction from Texts 2023

### Proceedings of the First Workshop on Geographic Information Extraction from Texts (GeoExT 2023)
co-located with The 45th European Conference on Information Retrieval (ECIR 2023)

### Dublin, Ireland, April 2nd, 2023.

Edited by

### Xuke Hu, German Aerospace Center, Germany
Yingjie Hu, University at Buffalo, USA
Bernd Resch, University of Salzburg, Austria
Jens Kersten, German Aerospace Center, Germany
Kristin Stock, Massey University, New Zealand

## Table of Contents

- Preface
  Xuke Hu, Yingjie Hu, Bernd Resch, Jens Kersten, Kristin Stock
- Evaluating the Similarity of Location-based Corpora Identified in Reddit Comments 1-6
  Cillian Berragan, Alex Singleton, Alessia Calafiore, Jeremy Morley
- Extracting Toponyms from OpenStreetMap: A Cross-linguistic Perspective 7-16
  Francesco-Alessio Ursini, Giuseppe Samo
- Perdido: Python Library for Geoparsing and Geocoding French Texts 17-22
  Ludovic Moncla, Mauro Gaio
- Syntactical Text Analysis to Disambiguate between Twitter Users’ In-situ and Remote Location 23-28
  Helen Ngonidzashe Serere, Bernd Resch
- The Koja Web Mapping Application for Context-sensitive Natural Language Spatial Querying 29-35
  Niloofar Aflaki, Kristin Stock, Christopher B. Jones, Hans Guesgen, Yukio Fukuzawa, Jeremy Morley
- Geoparsing at Web-scale - Challenges and Opportunities 36-43
  Sheikh Mastura Farzana, Tobias Hecking
- Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text 44-50
  Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar

2023-04-24: submitted by Xuke Hu, metadata incl. bibliographic data published under Creative Commons CC0
2023-05-02: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|