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        <title>From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation</title>
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            <title>Proceedings of the Workshop on NLG for Human–Robot Interaction</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation
%A Pomarlan, Mihai
%A Porzel, Robert
%A Bateman, John
%A Malaka, Rainer
%Y Foster, Mary Ellen
%Y Buschmeier, Hendrik
%Y Gkatzia, Dimitra
%S Proceedings of the Workshop on NLG for Human–Robot Interaction
%D 2018
%8 November
%I Association for Computational Linguistics
%C Tilburg, The Netherlands
%F pomarlan-etal-2018-sensors
%X 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.
%R 10.18653/v1/W18-6904
%U https://aclanthology.org/W18-6904
%U https://doi.org/10.18653/v1/W18-6904
%P 17-21

Markdown (Informal)

[From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation](https://aclanthology.org/W18-6904) (Pomarlan et al., INLG 2018)

• From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation (Pomarlan et al., INLG 2018)

ACL

• Mihai Pomarlan, Robert Porzel, John Bateman, and Rainer Malaka. 2018. From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation. In Proceedings of the Workshop on NLG for Human–Robot Interaction, pages 17–21, Tilburg, The Netherlands. Association for Computational Linguistics.