Generating grammars for natural language understanding from knowledge about actions and objects

Alexander Perzylo; Sascha Griffiths; Reinhard Lafrenz; Alois Knoll

doi:10.1109/ROBIO.2015.7419068

Generating grammars for natural language understanding from knowledge about actions and objects

Alexander Perzylo, Sascha Griffiths, Reinhard Lafrenz, Alois Knoll

nformatics 6 - Chair of IRobotics, Artificial Intelligence and Real-time Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning. In this paper we present a framework for the automatic generation of natural language grammars from ontological descriptions of robot tasks and interaction objects, and their use in a natural language interface. Robots can use it locally or even share this interface component through the RoboEarth framework in order to benefit from features such as referent grounding, ambiguity resolution, task identification, and task assignment.

Original language	English
Title of host publication	2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2008-2013
Number of pages	6
ISBN (Electronic)	9781467396745
DOIs	https://doi.org/10.1109/ROBIO.2015.7419068
State	Published - 2015
Event	IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China Duration: 6 Dec 2015 → 9 Dec 2015

Publication series

Name	2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Conference

Conference	IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Country/Territory	China
City	Zhuhai
Period	6/12/15 → 9/12/15

Access to Document

10.1109/ROBIO.2015.7419068

Cite this

Perzylo, A., Griffiths, S., Lafrenz, R., & Knoll, A. (2015). Generating grammars for natural language understanding from knowledge about actions and objects. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 (pp. 2008-2013). Article 7419068 (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO.2015.7419068

Perzylo, Alexander ; Griffiths, Sascha ; Lafrenz, Reinhard et al. / Generating grammars for natural language understanding from knowledge about actions and objects. 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2008-2013 (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015).

@inproceedings{40b01e4bc72545a8bedfd4acf30d1456,

title = "Generating grammars for natural language understanding from knowledge about actions and objects",

abstract = "Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning. In this paper we present a framework for the automatic generation of natural language grammars from ontological descriptions of robot tasks and interaction objects, and their use in a natural language interface. Robots can use it locally or even share this interface component through the RoboEarth framework in order to benefit from features such as referent grounding, ambiguity resolution, task identification, and task assignment.",

author = "Alexander Perzylo and Sascha Griffiths and Reinhard Lafrenz and Alois Knoll",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 ; Conference date: 06-12-2015 Through 09-12-2015",

year = "2015",

doi = "10.1109/ROBIO.2015.7419068",

language = "English",

series = "2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2008--2013",

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}

Perzylo, A, Griffiths, S, Lafrenz, R & Knoll, A 2015, Generating grammars for natural language understanding from knowledge about actions and objects. in 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015., 7419068, 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2008-2013, IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, Zhuhai, China, 6/12/15. https://doi.org/10.1109/ROBIO.2015.7419068

Generating grammars for natural language understanding from knowledge about actions and objects. / Perzylo, Alexander; Griffiths, Sascha; Lafrenz, Reinhard et al.
2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2008-2013 7419068 (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Generating grammars for natural language understanding from knowledge about actions and objects

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AU - Griffiths, Sascha

AU - Lafrenz, Reinhard

AU - Knoll, Alois

PY - 2015

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AB - Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning. In this paper we present a framework for the automatic generation of natural language grammars from ontological descriptions of robot tasks and interaction objects, and their use in a natural language interface. Robots can use it locally or even share this interface component through the RoboEarth framework in order to benefit from features such as referent grounding, ambiguity resolution, task identification, and task assignment.

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U2 - 10.1109/ROBIO.2015.7419068

DO - 10.1109/ROBIO.2015.7419068

M3 - Conference contribution

AN - SCOPUS:84964430207

T3 - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

SP - 2008

EP - 2013

BT - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Y2 - 6 December 2015 through 9 December 2015

ER -

Perzylo A, Griffiths S, Lafrenz R, Knoll A. Generating grammars for natural language understanding from knowledge about actions and objects. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2008-2013. 7419068. (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015). doi: 10.1109/ROBIO.2015.7419068

Generating grammars for natural language understanding from knowledge about actions and objects

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