Papers with directed acyclic neural network

1 papers
Directed Acyclic Graph Network for Conversational Emotion Recognition (2021.acl-long)

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Challenge: Empirical evidence shows that a good representation of conversation context significantly contributes to the model performance.
Approach: They propose to encode query utterances with a directed acyclic graph to better model the intrinsic structure within a conversation.
Outcome: The proposed model outperforms existing models on four ERC benchmarks with state-of-the-art models employed as baselines.

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