Papers with hybrid neural attention model

1 papers
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates (D18-1)

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Challenge: Existing models for agreement/disagreement in debates lack the ability to model these two factors together.
Approach: They propose a hybrid attention model which combines self and cross attention mechanism to locate salient part from textual context and interaction between users.
Outcome: The proposed model outperforms the state-of-the-art models on three (dis)agreement inference datasets.

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