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CM Net: A Novel Collaborative Memory Network for Spoken Language Understanding

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Figure

Figure 1: Statistical association of slot tags (on the left)and intent labels (on the right) in the SNIPS, where col-ors indicate different intents and thicknesses of linesindicate proportions.
Table 1: Examples in SNIPS with annotations of intent label for the utterance and slot tags for partial words.
Figure 2: Overview of our proposed CM-Net. The in-put utterance is firstly encoded with the EmbeddingLayer (bottom), and then is transformed by multipleCM-blocks with the assistance of both slot and intentmemories (on both sides)
Figure 3: The internal structure of our CM-Block,which is composed of deliberate attention, local cal-culation and global recurrent respectively.
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