most citedExploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cs.AI2016★ 14 cited

Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding

Lina M. Rojas Barahona, Milica Gasic, Nikola Mrkšić +4

This paper presents a deep learning architecture for the semantic decoder component of a Statistical Spoken Dialogue System. In a slot-filling dialogue, the semantic decoder predic…