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A Chunking Parser for Semantic Interpretation of Spoken Route Directions in Human-Robot Dialogue
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-7412-0967
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-8579-1790
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-0397-6442
2012 (English)In: Proceedings of the 4th Swedish Language Technology Conference (SLTC 2012), Lund, Sweden, 2012, 55-56 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a novel application of the chunking parser for data-driven semantic interpretation of spoken route directions into route graphs that are useful for robot navigation. Various sets of features and machine learning algorithms were explored. The results indicate that our approach is robust to speech recognition errors, and could be easily used in other languages using simple features.

Place, publisher, year, edition, pages
Lund, Sweden, 2012. 55-56 p.
National Category
Computer Sciences Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-109394OAI: oai:DiVA.org:kth-109394DiVA: diva2:581697
Conference
The 4th Swedish Language Technology Conference (SLTC 2012), Lund, October 24-26, 2012
Funder
ICT - The Next Generation
Note

QC 20130116. tmh_import_13_01_02, tmh_id_3812

Available from: 2013-01-02 Created: 2013-01-02 Last updated: 2018-01-11Bibliographically approved

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Meena, RaveeshSkantze, GabrielGustafson, Joakim

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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