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Unknown Example Detection for Example-based Spoken Dialog System

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dc.contributor.author Takeuchi, Shota ja
dc.contributor.author Kawanami, Hiromichi ja
dc.contributor.author Saruwatari, Hiroshi ja
dc.contributor.author Shikano, Kiyohiro ja
dc.date.accessioned 2012-08-22T07:58:40Z
dc.date.available 2012-08-22T07:58:40Z
dc.date.issued 2009-08 ja
dc.identifier.isbn 9781424444007
dc.identifier.uri http://hdl.handle.net/10061/7935
dc.description "Oriental COCOSDA 2009: International Conference on Speech Database and Assessments , August 10-12, 2009, Xinjiang University Urumqi, China." ja
dc.description.abstract In a spoken dialog system, the example-based response generation method generates a response by searching a dialog example database for the example question most similar to an input user utterance. That method has the advantage of ease of system expansion. It requires, however, a number of utterance examples whose correct responses are labeled. In this paper, we propose an approach to reducing the system expansion cost. This approach employs a detection method that screens the unknown examples, the utterances to be added to the database with their correct responses. The experimental results show that the method can reduce the number of utterances required to be labeled while maintaining the system response accuracy improvement as well as full labeling. ja
dc.language.iso en ja
dc.publisher IEEE ja
dc.title Unknown Example Detection for Example-based Spoken Dialog System ja
dc.type.nii Conference Paper ja
dc.textversion Publisher ja
dc.identifier.spage 122 ja
dc.identifier.epage 125 ja
dc.relation.doi 10.1109/ICSDA.2009.5278363 ja
dc.identifier.NAIST-ID 73292492

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