@InProceedings{perera-EtAl:2018:W18-14,
  author    = {Perera, Ian  and  Allen, James  and  Teng, Choh Man  and  Galescu, Lucian},
  title     = {Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding},
  booktitle = {Proceedings of the First International Workshop on Spatial Language Understanding},
  month     = {June},
  year      = {2018},
  address   = {New Orleans},
  publisher = {Association for Computational Linguistics},
  pages     = {12--20},
  abstract  = {We demonstrate a system for understanding natural language utterances for structure description and placement in a situated blocks world context. By relying on a rich, domain-specific adaptation of a generic ontology and a logical form structure produced by a semantic parser, we obviate the need for an intermediate, domain-specific representation and can produce a reasoner that grounds and reasons over concepts and constraints with real-valued data. This linguistic base enables more flexibility in interpreting natural language expressions invoking intrinsic concepts and features of structures and space. We demonstrate some of the capabilities of a system grounded in deep language understanding and present initial results in a structure learning task.},
  url       = {http://www.aclweb.org/anthology/W18-1402}
}