Papers with generated sentence representation

1 papers
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis (D19-1)

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Challenge: Existing models use aspect-independent encoders for sentence representation generation.
Approach: They propose an aspect-guided deep transition model which guides the sentence encoding from scratch with a specially-designed deep transition architecture.
Outcome: The proposed model outperforms existing models on multiple datasets on aspect-category sentiment analysis and aspectterm sentiment analysis without additional features.

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