Towards a computational model of sketching
Proceedings of the 6th international conference on Intelligent user interfaces
An Empirically Validated Model for Computing Spatial Relations
KI '95 Proceedings of the 19th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Companion cognitive systems: a step toward human-level AI
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Transforming between propositions and features: bridging the gap
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
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The ability to understand and communicate spatial relationships is central to many human-level reasoning tasks. People often describe spatial relationships using prepositions (i.e., in, on, under). Being able to use and interpret spatial prepositions could help create interactive systems for many tasks, including knowledge capture. Here I describe my thesis work modeling the learning and use of spatial prepositions and applying this model to the task of knowledge capture.