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AGILE: GIScience Series Open-access proceedings of the Association of Geographic Information Laboratories in Europe
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Articles | Volume 3
AGILE GIScience Ser., 3, 16, 2022
AGILE GIScience Ser., 3, 16, 2022
10 Jun 2022
10 Jun 2022

GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text

Mehtab Alam Syed1,3, Elena Arsevska2,3, Mathieu Roche1,3, and Maguelonne Teisseire1,4 Mehtab Alam Syed et al.
  • 1TETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Montpellier, France
  • 2ASTRE, Univ Montpellier, CIRAD, INRAE, Montpellier, France
  • 3CIRAD, UMR TETIS, F-34398 Montpellier, France
  • 4INRAE, UMR TETIS, Montpellier, France

Keywords: Natural Language Processing, Spatial Information, GeoTagger, GeoParser

Abstract. Spatial information has gained more attention in natural language processing tasks in different interdisciplinary domains. Moreover, the spatial information is available in two forms: Absolute Spatial Information (ASI) e.g., Paris, London, and Germany and Relative Spatial Information (RSI) e.g., south of Paris, north Madrid and 80 km from Rome. Therefore, it is challenging to extract RSI from textual data and compute its geotagging. This paper presents two strategies and the associated prototypes to address the following tasks: 1) extraction of relative spatial information from textual data and 2) geotagging of this relative spatial information. Experiments show promising results for RSI extraction and tagging.

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