Papers with cross-shared unit

1 papers
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction (P19-1)

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Challenge: Existing algorithms address aspect term extraction and aspect sentiment classification as separate tasks, which can be complicated for real applications.
Approach: They propose a dual crOss-sharEd RNN framework to generate all aspect term-polarity pairs of the input sentence simultaneously.
Outcome: The proposed framework outperforms state-of-the-art frameworks on three benchmark datasets.

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