GeospaCy: A tool for extraction and geographical referencing of spatial expressions in textual data

Spatial information in text enables to understand the geographical context and relationships within text for better decision-making across various domains such as disease surveillance, disaster management and other locationbased services. Therefore, it is crucial to understand the precise geographical context for location-sensitive applications. In response to this necessity, we introduce the GeospaCy software tool, designed for the extraction and georeferencing of spatial information present in textual data. GeospaCy fulfils two primary objectives: 1) Geoparsing, which involves extracting spatial expressions, encompassing place names and associated spatial relations within the text data, and 2) Geocoding, which facilitates the assignment of geographical coordinates to the spatial expressions extracted during the Geoparsing task. Geoparsing is evaluated with a disease news article dataset consisting of event information, whereas a qualitative evaluation of geographical coordinates (polygons/geometries) of spatial expressions is performed by end-users for Geocoding task.

Bibliographic Details

Main Authors:	Syed, Mehtab alam, Arsevska, Elena, Roche, Mathieu, Teisseire, Maguelonne
Format:	conference_item biblioteca
Language:	eng
Published:	Association for Computational Linguistics
Online Access:	http://agritrop.cirad.fr/609245/ http://agritrop.cirad.fr/609245/7/609245.pdf
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