Papers with RILGNet

1 papers
Modeling Aspect Correlation for Aspect-based Sentiment Analysis via Recurrent Inverse Learning Guidance (2022.coling-1)

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Challenge: Existing methods to learn complex sentence with multiple aspects do not consider correlation between aspects to distinguish overlapped feature.
Approach: They propose a method that uses aspect correlation to improve aspect correlation modeling . they use Recurrent Mechanism to improve the joint representation of aspects .
Outcome: The proposed method is state-of-the-art in multiaspect scenarios.

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