Safe In-vehicle Dialogue Using Learned Predictions of User Utterances

• We present a multimodal in-vehicle dialogue system which uses learned predictions of user answers to enable shorter, more efficient, and thus safer natural language dialogues. © 2014 Association for Computational Linguistics

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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