Papers by Zehui Dai

2 papers
Charge-Based Prison Term Prediction with Deep Gating Network (D19-1)

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Challenge: Existing work merely predicts the total prison term, but in reality a defendant is often charged with multiple crimes.
Approach: They propose a charge-based prison term prediction task that better fits real needs and makes it more accurate and interpretable.
Outcome: The proposed method achieves state-of-the-art performance for charge-specific feature selection and aggregation.
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis (2020.emnlp-main)

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Challenge: Sentiment analysis is an increasingly popular natural language processing task in academia and industry.
Approach: They propose to use category name encoding network to weaken catastrophic forgetting problem . they set both encoder and decoder shared among all categories to weaker the catastrophic forgetting problem a .
Outcome: The proposed model achieves state-of-the-art on two (T)ACSA benchmark datasets.

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