Yourself
发表于 2025-3-23 09:57:44
Jiayu Dong,Huicheng Zheng,Lina Liannd self-attention within input sequence, where the input sequence contains a current question and a passage. Then a feature selection method is designed to enhance the useful history turns of conversation and weaken the unnecessary information. Finally, we demonstrate the effectiveness of the propos
垫子
发表于 2025-3-23 17:35:08
Long Zhang,Jieyu Zhao,Xiangfu Shi,Xulun Yeith the NER model to fuse both contexts and dictionary knowledge into NER. Extensive experiments on the CoNLL-2003 benchmark dataset validate the effectiveness of our approach in exploiting entity dictionaries to improve the performance of various NER models.
洞穴
发表于 2025-3-23 21:24:45
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enlist
发表于 2025-3-24 01:53:43
Yang Yu,Zhiqiang Gong,Ping Zhong,Jiaxin Shannd self-attention within input sequence, where the input sequence contains a current question and a passage. Then a feature selection method is designed to enhance the useful history turns of conversation and weaken the unnecessary information. Finally, we demonstrate the effectiveness of the propos
庄严
发表于 2025-3-24 02:56:00
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外表读作
发表于 2025-3-24 09:21:15
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dermatomyositis
发表于 2025-3-24 11:22:01
Jing Wang,Hong Zhu,Shan Xue,Jing Shipairs. In the interaction layer, we initially fuse the information of the sentence pairs to obtain low-level semantic information; at the same time, we use the bi-directional attention in the machine reading comprehension model and self-attention to obtain the high-level semantic information. We use
过于光泽
发表于 2025-3-24 16:37:19
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Collected
发表于 2025-3-24 21:27:34
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样式
发表于 2025-3-25 00:48:24
Wei Hu,Hongyu Qi,Zhenbing Zhao,Leilei Xuction strategies to explore its effect. We conduct experiments on seven Semantic Textual Similarity (STS) tasks. The experimental results show that our ConIsI models based on . and . achieve state-of-the-art performance, substantially outperforming previous best models SimCSE-. and SimCSE-. by 2.05%