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Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
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机译:用联合指针和注意来填充口语理解
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摘要
A method for slot-filling in an automated spoken language understanding (SLU) system includes receiving words in a text phrase, generating an encoded output and attention weights using a recurrent neural network (RNN) encoder with an attention mechanism, generating a first and second probability distributions of slot words in an extended slot vocabulary database using an RNN decoder and a pointer network, respectively, for a time step, generating a combined probability distribution based on the first and second probability distributions, and identifying a slot word corresponding to one word in the extended slot vocabulary database having a highest probability value in the combined probability distribution for the time step.
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