@InProceedings{dorr-voss:2018:W18-14,
  author    = {Dorr, Bonnie  and  Voss, Clare},
  title     = {The Case for Systematically Derived Spatial Language Usage},
  booktitle = {Proceedings of the First International Workshop on Spatial Language Understanding},
  month     = {June},
  year      = {2018},
  address   = {New Orleans},
  publisher = {Association for Computational Linguistics},
  pages     = {63--70},
  abstract  = {This position paper argues that, while prior work in spatial language understanding for tasks such as robot navigation focuses on mapping natural language into deep conceptual or non-linguistic representations, it is possible to systematically derive regular patterns of spatial language usage from existing lexical-semantic resources. Furthermore, even with access to such resources, effective solutions to many application areas such as robot navigation and narrative generation also require additional knowledge at the syntax-semantics interface to cover the wide range of spatial expressions observed and available to natural language speakers. We ground our insights in, and present our extensions to, an existing lexico-semantic resource, covering 500 semantic classes of verbs, of which 219 fall within a spatial subset. We demonstrate that these extensions enable systematic derivation of regular patterns of spatial language without requiring manual annotation.},
  url       = {http://www.aclweb.org/anthology/W18-1408}
}