License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.20
URN: urn:nbn:de:0030-drops-93482
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9348/
Aflaki, Niloofar ;
Russell, Shaun ;
Stock, Kristin
Challenges in Creating an Annotated Set of Geospatial Natural Language Descriptions (Short Paper)
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.
BibTeX - Entry
@InProceedings{aflaki_et_al:LIPIcs:2018:9348,
author = {Niloofar Aflaki and Shaun Russell and Kristin Stock},
title = {{Challenges in Creating an Annotated Set of Geospatial Natural Language Descriptions (Short Paper)}},
booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {20:1--20:6},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-083-5},
ISSN = {1868-8969},
year = {2018},
volume = {114},
editor = {Stephan Winter and Amy Griffin and Monika Sester},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9348},
URN = {urn:nbn:de:0030-drops-93482},
doi = {10.4230/LIPIcs.GISCIENCE.2018.20},
annote = {Keywords: Annotation challenges, spatial relations, spatial language}
}
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Keywords: |
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Annotation challenges, spatial relations, spatial language |
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Collection: |
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10th International Conference on Geographic Information Science (GIScience 2018) |
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Issue Date: |
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2018 |
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Date of publication: |
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02.08.2018 |
