@inproceedings{huminski-etal-2019-commonsense,
title = "Commonsense inference in human-robot communication",
author = "Huminski, Aliaksandr and
Ng, Yan Bin and
Kwok, Kenneth and
Bond, Francis",
editor = "Ostermann, Simon and
Zhang, Sheng and
Roth, Michael and
Clark, Peter",
booktitle = "Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-6013",
doi = "10.18653/v1/D19-6013",
pages = "104--112",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="huminski-etal-2019-commonsense">
<titleInfo>
<title>Commonsense inference in human-robot communication</title>
</titleInfo>
<name type="personal">
<namePart type="given">Aliaksandr</namePart>
<namePart type="family">Huminski</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yan</namePart>
<namePart type="given">Bin</namePart>
<namePart type="family">Ng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kenneth</namePart>
<namePart type="family">Kwok</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Francis</namePart>
<namePart type="family">Bond</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2019-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing</title>
</titleInfo>
<name type="personal">
<namePart type="given">Simon</namePart>
<namePart type="family">Ostermann</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sheng</namePart>
<namePart type="family">Zhang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Michael</namePart>
<namePart type="family">Roth</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Peter</namePart>
<namePart type="family">Clark</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Hong Kong, China</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">huminski-etal-2019-commonsense</identifier>
<identifier type="doi">10.18653/v1/D19-6013</identifier>
<location>
<url>https://aclanthology.org/D19-6013</url>
</location>
<part>
<date>2019-11</date>
<extent unit="page">
<start>104</start>
<end>112</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Commonsense inference in human-robot communication
%A Huminski, Aliaksandr
%A Ng, Yan Bin
%A Kwok, Kenneth
%A Bond, Francis
%Y Ostermann, Simon
%Y Zhang, Sheng
%Y Roth, Michael
%Y Clark, Peter
%S Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F huminski-etal-2019-commonsense
%X 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.
%R 10.18653/v1/D19-6013
%U https://aclanthology.org/D19-6013
%U https://doi.org/10.18653/v1/D19-6013
%P 104-112
Markdown (Informal)
[Commonsense inference in human-robot communication](https://aclanthology.org/D19-6013) (Huminski et al., 2019)
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.