Challenges in creating an annotated set of geospatial natural language descriptions
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Date
2018-08-01
Open Access Location
Journal Title
Journal ISSN
Volume Title
Publisher
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Rights
(c) 2018 The Author/s
CC BY 3.0
CC BY 3.0
Abstract
In order to extract and map location information from natural language descriptions, a first step is to identify different language elements within the descriptions. In this paper, we describe a method and discuss the challenges faced in creating an annotated set of geospatial natural language descriptions using manual tagging, with the purpose of supporting validation and machine learning approaches to annotation and text interpretation.
Description
Keywords
Annotation challenges, spatial relations, spatial language
Citation
Aflaki N, Russell S, Stock K. (2018). Challenges in creating an annotated set of geospatial natural language descriptions. Winter S, Griffin A, Sester M. Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl – Leibniz-Zentrum für Informatik.