@inproceedings{lindes-etal-2017-grounding,
title = "Grounding Language for Interactive Task Learning",
author = "Lindes, Peter and
Mininger, Aaron and
Kirk, James R. and
Laird, John E.",
editor = "Bansal, Mohit and
Matuszek, Cynthia and
Andreas, Jacob and
Artzi, Yoav and
Bisk, Yonatan",
booktitle = "Proceedings of the First Workshop on Language Grounding for Robotics",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-2801",
doi = "10.18653/v1/W17-2801",
pages = "1--9",
abstract = "This paper describes how language is grounded by a comprehension system called Lucia within a robotic agent called Rosie that can manipulate objects and navigate indoors. The whole system is built within the Soar cognitive architecture and uses Embodied Construction Grammar (ECG) as a formalism for describing linguistic knowledge. Grounding is performed using knowledge from the grammar itself, from the linguistic context, from the agents perception, and from an ontology of long-term knowledge about object categories and properties and actions the agent can perform. The paper also describes a benchmark corpus of 200 sentences in this domain along with test versions of the world model and ontology and gold-standard meanings for each of the sentences. The benchmark is contained in the supplemental materials.",
}
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%0 Conference Proceedings
%T Grounding Language for Interactive Task Learning
%A Lindes, Peter
%A Mininger, Aaron
%A Kirk, James R.
%A Laird, John E.
%Y Bansal, Mohit
%Y Matuszek, Cynthia
%Y Andreas, Jacob
%Y Artzi, Yoav
%Y Bisk, Yonatan
%S Proceedings of the First Workshop on Language Grounding for Robotics
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F lindes-etal-2017-grounding
%X This paper describes how language is grounded by a comprehension system called Lucia within a robotic agent called Rosie that can manipulate objects and navigate indoors. The whole system is built within the Soar cognitive architecture and uses Embodied Construction Grammar (ECG) as a formalism for describing linguistic knowledge. Grounding is performed using knowledge from the grammar itself, from the linguistic context, from the agents perception, and from an ontology of long-term knowledge about object categories and properties and actions the agent can perform. The paper also describes a benchmark corpus of 200 sentences in this domain along with test versions of the world model and ontology and gold-standard meanings for each of the sentences. The benchmark is contained in the supplemental materials.
%R 10.18653/v1/W17-2801
%U https://aclanthology.org/W17-2801
%U https://doi.org/10.18653/v1/W17-2801
%P 1-9
Markdown (Informal)
[Grounding Language for Interactive Task Learning](https://aclanthology.org/W17-2801) (Lindes et al., RoboNLP 2017)
ACL
- Peter Lindes, Aaron Mininger, James R. Kirk, and John E. Laird. 2017. Grounding Language for Interactive Task Learning. In Proceedings of the First Workshop on Language Grounding for Robotics, pages 1–9, Vancouver, Canada. Association for Computational Linguistics.