Applications Using Spoken Language Understanding Technology

Vol.101 No.9 pp.880-884

Publication Date:2018/09/01

Online ISSN:2188-2355

Print ISSN:0913-5693

Type of Manuscript:Special Section on Past and Future of Spoken Language Understanding Technology

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