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        <datestamp>2024-03-06T10:44:06Z</datestamp>
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          <dc:title>Challenges in Creating an Annotated Set of Geospatial Natural Language Descriptions (Short Paper)</dc:title>
          <dc:creator>Aflaki, Niloofar</dc:creator>
          <dc:creator>Russell, Shaun</dc:creator>
          <dc:creator>Stock, Kristin</dc:creator>
          <dc:subject>Annotation challenges</dc:subject>
          <dc:subject>spatial relations</dc:subject>
          <dc:subject>spatial language</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Niloofar Aflaki and Shaun Russell and Kristin Stock</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.GISCIENCE.2018.20</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-93482</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.20</dc:identifier>
          <dc:language>eng</dc:language>
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