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slot
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The label embedding is pushed by prior knowledge about slot definitions,
which implicates relations of different semantic labels and promotes
the adaptive coaching of slot filling. It helps data reuse for different
labels and domains. Our methods seek to interpret semantic labels (slots) in a number of dimensions the place relations of slots will be inferred implicitly.
Label embedding implicating relations of slots may share patterns and reuse the information of associated slots.
As a pr
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