@inproceedings{perera-etal-2018-building,
    title = "Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding",
    author = "Perera, Ian  and
      Allen, James  and
      Teng, Choh Man  and
      Galescu, Lucian",
    editor = "Kordjamshidi, Parisa  and
      Bhatia, Archna  and
      Pustejovsky, James  and
      Moens, Marie-Francine",
    booktitle = "Proceedings of the First International Workshop on Spatial Language Understanding",
    month = jun,
    year = "2018",
    address = "New Orleans",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-1402/",
    doi = "10.18653/v1/W18-1402",
    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."
}