A data-driven approach to understanding spoken route directions in human-robot dialogue 2012 (English)In: 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, 2012, p. 226-229Conference paper, Published paper (Refereed)

Abstract [en]

In this paper, we present a data-driven chunking parser for automatic interpretation of spoken route directions into a route graph that is useful for robot navigation. Different sets of features and machine learning algorithms are explored. The results indicate that our approach is robust to speech recognition errors.

Place, publisher, year, edition, pages

2012. p. 226-229

Keywords [en]

spoken language understanding, route directions, human-robot interaction

National Category

Computer Sciences Natural Language Processing

Identifiers

URN: urn:nbn:se:kth:diva-109382ISI: 000320827200057Scopus ID: 2-s2.0-84878405297ISBN: 978-1-62276-759-5 (print)OAI: oai:DiVA.org:kth-109382DiVA, id: diva2:581732

Conference

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Portland, OR; United States; 9 September 2012 through 13 September 2012

Funder

ICT - The Next Generation

Note

QC 20130823

Available from: 2013-01-02 Created: 2013-01-02 Last updated: 2025-02-01Bibliographically approved

Open Access in DiVA

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Other links

ScopusKTH.speech

Authority records

Meena, RaveeshSkantze, GabrielGustafson, Joakim

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Meena, RaveeshSkantze, GabrielGustafson, Joakim

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Speech Communication and Technology

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Computer SciencesNatural Language Processing

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