漫不经心
发表于 2025-3-26 23:11:23
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
Peak-Bone-Mass
发表于 2025-3-27 03:16:22
http://reply.papertrans.cn/27/2635/263426/263426_32.png
Statins
发表于 2025-3-27 09:16:11
http://reply.papertrans.cn/27/2635/263426/263426_33.png
Resection
发表于 2025-3-27 11:39:24
http://reply.papertrans.cn/27/2635/263426/263426_34.png
烧瓶
发表于 2025-3-27 15:27:29
http://reply.papertrans.cn/27/2635/263426/263426_35.png
同音
发表于 2025-3-27 18:17:14
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
小臼
发表于 2025-3-28 00:31:20
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
使人入神
发表于 2025-3-28 06:03:05
http://reply.papertrans.cn/27/2635/263426/263426_38.png
听写
发表于 2025-3-28 08:15:59
http://reply.papertrans.cn/27/2635/263426/263426_39.png
缓解
发表于 2025-3-28 13:45:50
http://reply.papertrans.cn/27/2635/263426/263426_40.png