Papers by Shuqin Gu

1 papers
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis (C18-1)

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Challenge: Existing approaches to model aspect-level sentiment analysis neglect the position information of aspect terms.
Approach: They propose a position-aware bidirectional attention network (PBAN) that mutually models the relation between aspect terms and sentences by employing bidirectional mechanism.
Outcome: The proposed model can distinguish sentiment polarity of aspect terms in sentences . it can also model relation between aspect terms and sentences based on position information .

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