Papers with BCDCN

1 papers
Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions (2020.coling-main)

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Challenge: a novel context-aware dynamic convolution network is proposed to better leverage the local contexts when dynamically generating convolution kernels.
Approach: They propose a dynamic convolution network to leverage local contexts when generating convolution kernels.
Outcome: The proposed frameworks achieve state-of-the-art on two benchmark datasets.

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