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        <title>Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding</title>
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            <title>Proceedings of the First International Workshop on Spatial Language Understanding</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding
%A Perera, Ian
%A Allen, James
%A Teng, Choh Man
%A Galescu, Lucian
%Y Kordjamshidi, Parisa
%Y Bhatia, Archna
%Y Pustejovsky, James
%Y Moens, Marie-Francine
%S Proceedings of the First International Workshop on Spatial Language Understanding
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans
%F perera-etal-2018-building
%X 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.
%R 10.18653/v1/W18-1402
%U https://aclanthology.org/W18-1402
%U https://doi.org/10.18653/v1/W18-1402
%P 12-20

Markdown (Informal)

[Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding](https://aclanthology.org/W18-1402) (Perera et al., SpLU 2018)

• Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding (Perera et al., SpLU 2018)

ACL

• Ian Perera, James Allen, Choh Man Teng, and Lucian Galescu. 2018. Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding. In Proceedings of the First International Workshop on Spatial Language Understanding, pages 12–20, New Orleans. Association for Computational Linguistics.