Commonsense inference in human-robot communication

Aliaksandr Huminski, Yan Bin Ng, Kenneth Kwok, Francis Bond


Abstract
Natural language communication between machines and humans are still constrained. The article addresses a gap in natural language understanding about actions, specifically that of understanding commands. We propose a new method for commonsense inference (grounding) of high-level natural language commands into specific action commands for further execution by a robotic system. The method allows to build a knowledge base that consists of a large set of commonsense inferences. The preliminary results have been presented.
Anthology ID:
D19-6013
Volume:
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
Month:
November
Year:
2019
Address:
Hong Kong, China
Editors:
Simon Ostermann, Sheng Zhang, Michael Roth, Peter Clark
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
104–112
Language:
URL:
https://aclanthology.org/D19-6013
DOI:
10.18653/v1/D19-6013
Bibkey:
Cite (ACL):
Aliaksandr Huminski, Yan Bin Ng, Kenneth Kwok, and Francis Bond. 2019. Commonsense inference in human-robot communication. In Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing, pages 104–112, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Commonsense inference in human-robot communication (Huminski et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/D19-6013.pdf