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, 226-229 p.Conference paper (Refereed)
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. 226-229 p.
spoken language understanding, route directions, human-robot interaction
Computer Science Language Technology (Computational Linguistics)
IdentifiersURN: urn:nbn:se:kth:diva-109382ISI: 000320827200057ScopusID: 2-s2.0-84878405297ISBN: 978-1-62276-759-5OAI: oai:DiVA.org:kth-109382DiVA: diva2:581732
13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Portland, OR; United States; 9 September 2012 through 13 September 2012
FunderICT - The Next Generation
QC 201308232013-01-022013-01-022013-08-23Bibliographically approved