Papers by Chenlin Shen

1 papers
Sentiment Classification towards Question-Answering with Hierarchical Matching Network (D18-1)

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Challenge: Existing methods to classify QA text contain rich sentiment information.
Approach: They propose a task/method to address QA sentiment analysis by annotating QA text pair with annotation guidelines.
Outcome: The proposed method can learn the matching vectors of each Q-sentence, A-sentent unit.

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