Challenges in creating an annotated set of geospatial natural language descriptions

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dc.citation.volume114
dc.contributor.authorAflaki N
dc.contributor.authorRussell S
dc.contributor.authorStock K
dc.contributor.editorWinter S
dc.contributor.editorGriffin A
dc.contributor.editorSester M
dc.coverage.spatialMelbourne, Australia
dc.date.accessioned2025-06-10T21:44:09Z
dc.date.available2025-06-10T21:44:09Z
dc.date.finish-date2018-08-31
dc.date.issued2018-08-01
dc.date.start-date2018-08-28
dc.description.abstractIn 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.
dc.description.confidentialfalse
dc.identifier.citationAflaki 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.
dc.identifier.doi10.4230/LIPIcs.GIScience.2018.20
dc.identifier.elements-typec-conference-paper-in-proceedings
dc.identifier.isbn978-3-95977-083-5
dc.identifier.issn1868-8969
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/73022
dc.publisherSchloss Dagstuhl – Leibniz-Zentrum für Informatik
dc.publisher.urihttp://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.20
dc.rights(c) 2018 The Author/s
dc.rightsCC BY 3.0
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.source.journalLeibniz International Proceedings in Informatics, LIPIcs
dc.source.name-of-conference10th International Conference on Geographic Information Science (GIScience 2018)
dc.subjectAnnotation challenges
dc.subjectspatial relations
dc.subjectspatial language
dc.titleChallenges in creating an annotated set of geospatial natural language descriptions
dc.typeconference
pubs.elements-id416027
pubs.organisational-groupOther
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