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|