Paper: A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes

ACL ID W09-0610
Title A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes
Venue European Workshop on Natural Language Generation
Session
Year 2009
Authors

This paper shows a model of automatic in- struction 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 in- formation in the virtual world is used is explained, and the final order generation is detailed. This model has been imple- mented as a solution for the GIVE Chal- lenge, an instruction generation challenge.