From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation

Mihai Pomarlan, Robert Porzel, John Bateman, Rainer Malaka


Abstract
We propose the combination of a robotics ontology (KnowRob) with a linguistically motivated one (GUM) under the upper ontology DUL. We use the DUL Event, Situation, Description pattern to formalize reasoning techniques to convert between a robot’s beliefstate and its linguistic utterances. We plan to employ these techniques to equip robots with a reason-aloud ability, through which they can explain their actions as they perform them, in natural language, at a level of granularity appropriate to the user, their query and the context at hand.
Anthology ID:
W18-6904
Volume:
Proceedings of the Workshop on NLG for Human–Robot Interaction
Month:
November
Year:
2018
Address:
Tilburg, The Netherlands
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
17–21
Language:
URL:
https://aclanthology.org/W18-6904
DOI:
10.18653/v1/W18-6904
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/W18-6904.pdf