Papers with Multi-sentiment-resource Enhanced Attention Network

1 papers
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification (P18-2)

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Challenge: Existing sentiment classification approaches do not fully exploit sentiment linguistic knowledge.
Approach: They propose a Multi-sentiment-resource Enhanced Attention Network to integrate sentiment linguistic knowledge into the deep neural network via attention mechanisms.
Outcome: The proposed network captures sentiments from different representation sub-spaces, and is superior to strong competitors.

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