Titlebook: Database Systems for Advanced Applications; 26th International C Christian S. Jensen,Ee-Peng Lim,Chih-Ya Shen Conference proceedings 2021 T

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Neural Adversarial Review Summarization with Hierarchical Personalized AttentionThus, our encoder could focus on important words and sentences in the input review. Then a summary decoder is employed to generate target summaries with hierarchical attention likewise, where the decoding scores are not only related to word information, but re-weighted by another sentence-level atte

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Discriminant Mutual Information for Text Feature Selectionte-of-the-art filter methods for text feature selection and conduct experiments on two datasets: Reuters-21578 and WebKB. K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) are taken as the subsequent classifiers. Experimental results shows that the proposed DMI has significantly improved the

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CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension history questions and answers are encoded into the contexts for the multi-turn setting. To capture the task-level importance of different layer outputs, a task-specific attention layer is further added to the CAT-BERT outputs, reflecting the positions that the model should pay attention to for a sp

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