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检索条件"机构=Laboratory of Data Engineering and Knowledge Engineering"
1054 条 记 录,以下是341-350 订阅
Emotion-Cause Pair Extraction Based on knowledge-Transfer  21
Emotion-Cause Pair Extraction Based on Knowledge-Transfer
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21st Chinese National Conference on Computational Linguistic, CCL 2022
作者: Fengyuan, Zhao Dexi, Liu Qizhi, Wan Changxuan, Wan Xiping, Liu Guoqiong, Liao School of Information Management Jiangxi University of Finance and Economics Jiangxi Nanchang China Jiangxi University of Finance and Economics Key Laboratory of Data and Knowledge Engineering Jiangxi Nanchang China
The existing emotion cause pair extraction models do not improve the performance of emotion cause pair extraction by incorporating external knowledge. In this work, we propose an emotion-cause pair extraction model ba... 详细信息
来源: 评论
knowledge Enhanced Coreference Resolution via Gated Attention
Knowledge Enhanced Coreference Resolution via Gated Attentio...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Kai He Bing Mao Xiangyu Zhou Yufei Li Tieliang Gong Chen Li Jialun Wu School of Computer Science and Technology Xi’an Jiaotong University Xi’an China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Xi’an China
Coreference resolution aims at linking all mentions that refer to the same entity, which are widely adopted in many biomedical and bioinformatics tasks, such as biomedical knowledge graph construction and metabolic pa... 详细信息
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Review of graph construction and graph learning in stock price prediction
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Procedia Computer Science 2022年 214卷 771-778页
作者: Yunong Wang Yi Qu Zhensong Chen Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China School of Management and Engineering Capital University of Economics and Business Beijing 100070 China
Precise prediction of stock prices leads to more profits and more effective risk prevention, which is of great significance to both investors and regulators. Recent years, various kinds of information not directly-rel... 详细信息
来源: 评论
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction
Uncertainty-guided Mutual Consistency Training for Semi-supe...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Bing Mao Chang Jia Yucheng Huang Kai He Jialun Wu Tieliang Gong Chen Li School of Computer Science and Technology Xi’an Jiaotong University Xi’an China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Xi’an China
Biomedical relation extraction seeks to automatically extract biomedical relations from biomedical text, which plays an important role in biomedical studies. However, constructing high-quality biomedical annotation da... 详细信息
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Robust Visual Question Answering: datasets, Methods, and Future Challenges
arXiv
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arXiv 2023年
作者: Ma, Jie Wang, Pinghui Kong, Dechen Wang, Zewei Liu, Jun Pei, Hongbin Zhao, Junzhou Di, Jia The Ministry of Education of Key Laboratory for Intelligent Networks and Network Security School of Cyber Science and Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China The Ministry of Education of Key Laboratory for Intelligent Networks and Network Security School of Automation Science and Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China The Shannxi Provincial Key Laboratory of Big Data Knowledge Engineering School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China
Visual question answering requires a system to provide an accurate natural language answer given an image and a natural language question. However, it is widely recognized that previous generic VQA methods often tend ... 详细信息
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Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
arXiv
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arXiv 2025年
作者: Wang, Yaxian Ding, Henghui He, Shuting Jiang, Xudong Wei, Bifan Liu, Jun School of Computer Science and Technology Xi'an Jiaotong University China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi'an Jiaotong University China Institute of Big Data Fudan University China Shanghai University of Finance and Economics China Nanyang Technological University Singapore School of Continuing Education Xi'an Jiaotong University China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University China
In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuses on single-target expressions, GREC ... 详细信息
来源: 评论
LEGNN: A Label Ensemble Perspective for Training a Label-Noise-Resistant GNN with Reduced Complexity
arXiv
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arXiv 2024年
作者: Zhao, Rui Shi, Bin Liang, Zhiming Ruan, Jianfei Dong, Bo Lin, Lu School of Computer Science and Technology Xi'an Jiaotong University China Ministry of Education Key Laboratory of Intelligent Networks and Network Security China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering China School of Distance Education Xi'an Jiaotong University China College of Information Sciences and Technology Penn State University United States
Graph Neural Networks (GNNs) have been widely employed for semi-supervised node classification tasks on graphs. However, the performance of GNNs is significantly affected by label noise, that is, a small amount of inc... 详细信息
来源: 评论
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension  39
Hierarchical Alignment-enhanced Adaptive Grounding Network f...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Wang, Yaxian Ding, Henghui He, Shuting Jiang, Xudong Wei, Bifan Liu, Jun School of Computer Science and Technology Xi'an Jiaotong University China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi'an Jiaotong University China Institute of Big Data Fudan University China Shanghai University of Finance and Economics China Nanyang Technological University Singapore School of Continuing Education Xi'an Jiaotong University China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University China
In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuses on single-target expressions, GREC ... 详细信息
来源: 评论
A Novel Local Search Algorithm Based on Connectivity Method and Vertex Penalty Mechanism for Minimum Weighted Connected Dominating Set Problem
SSRN
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SSRN 2024年
作者: Li, Ruizhi He, Jintao Yin, Minghao Hu, Shuli Ding, Nan Jilin University of Finance and Economics Changchun130117 China Northeast Normal University Changchun130117 China Business Big Data Research Center of Jilin Province Changchun130117 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China
The minimum weighted connected dominating set problem is a classical NP-hard problem with wide applications in practice. In this paper, an efficient local search algorithm is proposed to solve this problem. In this al... 详细信息
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DualConvNet: Enhancing CNN Inference Efficiency Through Compressed Convolutions and Reparameterization
DualConvNet: Enhancing CNN Inference Efficiency Through Comp...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Haipeng Du Muyan Jiao Jiageng Zhang Xin Lv Jie Zhang School of Computer Science and Technology Xi’an Jiaotong University Xi’an China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Xi’an China School of Continuing Education Xi’an Jiaotong University Xi’an China Network Information Center Xi’an Jiaotong University Xi’an China School of Computer Science and Engineering Xi’an University of Technology Xi’an China
Convolutional Neural Networks (CNNs) have significantly advanced computer vision tasks, but their increasing complexity poses challenges for efficient inference, particularly on resource-constrained devices. We presen... 详细信息
来源: 评论