Papers with hierarchical neural model

1 papers
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis (D19-1)

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Challenge: Emotion cause analysis aims to identify the reasons behind emotions . previous models focus on learning architecture with local textual information .
Approach: They propose a method to extract emotion cause with hierarchical neural model and knowledge-based regularizations by sentiment lexicon and common knowledge.
Outcome: The proposed method outperforms baselines on two public datasets in different languages and outperformed competitive baselines by 2.08%.

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