License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ICCSW.2014.19
URN: urn:nbn:de:0030-drops-47690
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4769/
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Cropper, Andrew

Identifying and inferring objects from textual descriptions of scenes from books

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Abstract

Fiction authors rarely provide detailed descriptions of scenes, preferring the reader to fill in the details using their imagination. Therefore, to perform detailed text-to-scene conversion from books, we need to not only identify explicit objects but also infer implicit objects. In this paper, we describe an approach to inferring objects using Wikipedia and WordNet. In our experiments, we are able to infer implicit objects such as monitor and computer by identifying explicit objects such as keyboard.

BibTeX - Entry

@InProceedings{cropper:OASIcs:2014:4769,
  author =	{Andrew Cropper},
  title =	{{Identifying and inferring objects from textual descriptions of scenes from books}},
  booktitle =	{2014 Imperial College Computing Student Workshop},
  pages =	{19--26},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-76-7},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{43},
  editor =	{Rumyana Neykova and Nicholas Ng},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4769},
  URN =		{urn:nbn:de:0030-drops-47690},
  doi =		{10.4230/OASIcs.ICCSW.2014.19},
  annote =	{Keywords: Text-to-Scene Conversion, Natural Language Processing, Artificial Intelligence}
}

Keywords: Text-to-Scene Conversion, Natural Language Processing, Artificial Intelligence
Collection: 2014 Imperial College Computing Student Workshop
Issue Date: 2014
Date of publication: 08.10.2014

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