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DOI: 10.4230/LIPIcs.COSIT.2019.11

Detecting the Geospatialness of Prepositions from Natural Language Text (Short Paper)

Authors: Mansi Radke, Prarthana Das, Kristin Stock, and Christopher B. Jones

Published in: LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019)

Abstract

There is increasing interest in detecting the presence of geospatial locative expressions that include spatial relation terms such as near or within <some distance>. Being able to do so provides a foundation for interpreting relative descriptions of location and for building corpora that facilitate the development of methods for spatial relation extraction and interpretation. Here we evaluate the use of a spatial role labelling procedure to distinguish geospatial uses of prepositions from other spatial and non-spatial uses and experiment with the use of additional machine learning features to improve the quality of detection of geospatial prepositions. An annotated corpus of nearly 2000 instances of preposition usage was created for training and testing the classifiers.

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Mansi Radke, Prarthana Das, Kristin Stock, and Christopher B. Jones. Detecting the Geospatialness of Prepositions from Natural Language Text (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 11:1-11:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{radke_et_al:LIPIcs.COSIT.2019.11,
  author =	{Radke, Mansi and Das, Prarthana and Stock, Kristin and Jones, Christopher B.},
  title =	{{Detecting the Geospatialness of Prepositions from Natural Language Text}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{11:1--11:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.11},
  URN =		{urn:nbn:de:0030-drops-111033},
  doi =		{10.4230/LIPIcs.COSIT.2019.11},
  annote =	{Keywords: spatial language, natural language processing, geospatial language}
}

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Detecting the Geospatialness of Prepositions from Natural Language Text (Short Paper)

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