Semi-automatic Creation of Resources for Spoken Dialog Systems

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SCHEFFLER, Tatjana, Roland ROLLER, Norbert REITHINGER, 2009. Semi-automatic Creation of Resources for Spoken Dialog Systems. In: MERTSCHING, Bärbel, ed., Marcus HUND, ed., Zaheer AZIZ, ed.. KI 2009: Advances in Artificial Intelligence. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 209-216. ISBN 978-3-642-04616-2

@inproceedings{Scheffler2009Semi--29034, title={Semi-automatic Creation of Resources for Spoken Dialog Systems}, year={2009}, doi={10.1007/978-3-642-04617-9_27}, number={5803}, isbn={978-3-642-04616-2}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={KI 2009: Advances in Artificial Intelligence}, pages={209--216}, editor={Mertsching, Bärbel and Hund, Marcus and Aziz, Zaheer}, author={Scheffler, Tatjana and Roller, Roland and Reithinger, Norbert} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/29034"> <dc:creator>Scheffler, Tatjana</dc:creator> <dc:contributor>Roller, Roland</dc:contributor> <dc:creator>Roller, Roland</dc:creator> <dc:contributor>Scheffler, Tatjana</dc:contributor> <dcterms:title>Semi-automatic Creation of Resources for Spoken Dialog Systems</dcterms:title> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-09-30T13:46:13Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-09-30T13:46:13Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Reithinger, Norbert</dc:creator> <dc:rights>deposit-license</dc:rights> <dcterms:abstract xml:lang="eng">The increasing number of spoken dialog systems calls for efficient approaches for their development and testing. Our goal is the minimization of hand-crafted resources to maximize the portability of this evaluation environment across spoken dialog systems and domains. In this paper we discuss the user simulation technique which allows us to learn general user strategies from a new corpus. We present this corpus, the VOICE Awards human-machine dialog corpus, and show how it is used to semi-automatically extract the resources and knowledge bases necessary in spoken dialog systems, e.g., the ASR grammar, the dialog classifier, the templates for generation, etc.</dcterms:abstract> <dcterms:bibliographicCitation>KI 2009: advances in artificial intelligence : 32nd Annual German Conference on AI, Paderborn, Germany, September 15 - 18, 2009 ; proceedings / Bärbel Mertsching ... (eds.). - Berlin [u.a.] : Springer, 2009. - S. 209-216. - (Lecture notes in computer science ; 5803). - ISBN 978-3-642-04616-2</dcterms:bibliographicCitation> <dc:contributor>Reithinger, Norbert</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29034"/> <dcterms:issued>2009</dcterms:issued> </rdf:Description> </rdf:RDF>

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