A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications

27 May 2019Mengyang ChenJin ZengJie Lou

Spoken language understanding (SLU) acts as a critical component in goal-oriented dialog systems. It typically involves identifying the speakers intent and extracting semantic slots from user utterances, which are known as intent detection (ID) and slot filling (SF)... (read more)

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