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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Towards a Computational Model of Frame of Reference Alignment in Swedish Dialogue Dobnik, Simon; Howes, Christine; Kelleher, John D.... In: Conference papers (2016) BASE Show details 2 Situating Spatial Templates for Human-Robot Interaction Sloan, Colm; Ross, Robert; Kelleher, John D.... In: Conference papers (2010) BASE Show details 3 Topology in Composite Spatial Terms Kelleher, John D.; Ross, Robert In: Conference papers (2010) BASE Show details 4 Proceedings of the Sixth International Natural Language Generation Conference (INLG 2010). Mac Namee, Brian; van der Sluis, Ielka; Kelleher, John D.. - : Technological University Dublin, 2010 In: Conference papers (2010) BASE Show details 5 Applying Computational Models of Spatial Prepositions to Visually Situated Dialog Costello, Fintan; Kelleher, John D. In: Articles (2009) BASE Show details 6 Proceedings of the 4th ACL-SIGSEM Workshop on Prepositions at ACL-2007. Costello, Fintan; Kelleher, John D.; Volk, Martin. - : Technological University Dublin, 2007 In: Conference papers (2007) BASE Show details 7 A Computational Model of the Referential Semantics of Projective Prepositions van Genabith, Josef; Kelleher, John D. In: Conference papers (2006) BASE Show details 8 Proximity in context: an empirically grounded computational model of proximity for processing topological spatial expression. Costello, Fintan; Kelleher, John D.; Kruijff, Geert-Jan In: Conference papers (2006) 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. Keyword: Artificial Intelligence and Robotics; Cognition and Perception; Cognitive Psychology; Computational Linguistics; Potential Fields; Prepositions; Proximity; Psycholinguistics and Neurolinguistics; Robotics; Semantics and Pragmatics; Situated Dialog; Spatial Language; Spatial Templates URL: https://arrow.tudublin.ie/scschcomcon/61 https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1078&context=scschcomcon BASE Hide details

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