D. Dionne, Salvador de la Puente, C. León, Pablo Gervás, Raquel Hervás
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A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes
This paper shows a model of automatic instruction giving for guiding human users in virtual 3D environments. A multilevel model for choosing what instruction to give in every state is presented, and so are the different modules that compose the whole generation system. How 3D information in the virtual world is used is explained, and the final order generation is detailed. This model has been implemented as a solution for the GIVE Challenge, an instruction generation challenge.
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