Proximity in Context: An Empirically Grounded Computational Model of Proximity for Processing Topological Spatial Expressions

نویسندگان

  • John D. Kelleher
  • Geert-Jan M. Kruijff
  • Fintan J. Costello
چکیده

The paper presents a new model for contextdependent 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.

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تاریخ انتشار 2006