Proximity in context: an empirically grounded computational model of proximity for processing topological spatial expressions

  • Authors:
  • John D. Kelleher;Geert-Jan M. Kruijff;Fintan J. Costello

  • Affiliations:
  • Dublin Institute of Technology, Dublin, Ireland;DFKI GmbH, Saarbrucken, Germany;University College Dublin, Dublin, Ireland

  • Venue:
  • ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
  • Year:
  • 2006

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Abstract

The paper presents a new model for context dependent interpretation of linguistic expressions about spatial proximity between objects in a natural scene. The paper discusses novel psycholinguistic experimental data that tests and verifies the model. The model has been implemented, and enables a conversational robot to identify objects in a scene through topological spatial relations (e.g. "X near Y"). The model can help motivate the choice between topological and projective prepositions.