《国际计算机前沿大会会议论文集》

作品数:844被引量:21H指数:1
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《国际计算机前沿大会会议论文集》
主办单位:中科国鼎数据科学研究院(北京)有限公司
最新期次:2023年2期更多>>
发文主题:BASED_ONNETWORKATTENTIONRESEARCHNEURAL更多>>
发文领域:社会学自动化与计算机技术语言文字电子电信更多>>
发文基金:国家自然科学基金国家教育部博士点基金广西壮族自治区自然科学基金中国博士后科学基金更多>>
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GPDCCL: Cross-Domain Named Entity Recognition with Span-Based Domain Confusion Contrastive Learning
《国际计算机前沿大会会议论文集》2023年第2期202-212,共11页Ye Wang Chenxiao Shi Lijie Li Manyuan Guo 
This work was supported by the National Key R&D Program of China under Grant No.2020YFB1710200.
The goal of cross-domain named entity recognition is to transfer mod-els learned from labelled source domain data to unlabelled or lightly labelled target domain datasets.This paper discusses how to adapt a cross-doma...
关键词:Transfer Learning Named Entity Recognition Domain Adaptation Contrastive Learning Adversarial Training 
Data Analyses and Parallel Optimization of the Regional Marine Ecological Model
《国际计算机前沿大会会议论文集》2023年第2期213-224,共12页Yanqiang Wang Jingjing Zheng Tianyu Zhang Peng Liang Bo Lin 
This research is supported by the National Natural Science Foundation of China(41976200);the project of Guangdong Ocean University(060302032106);Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(SML2022SP301)。
Under the joint influence of high-intensity human activities and cli-mate change,the coastal ecological environment is deteriorating,and the ecologi-cal environment security and the sustainable development of the marin...
关键词:marine ecological model ROMS high-performance computing parallel optimization 
Comparison of Two Grey Models’ Applicability to the Prediction of Passenger Flow in Sanya Airport
《国际计算机前沿大会会议论文集》2023年第2期225-236,共12页Yinan Chen Yuanhui Li 
Project supported by the Education Department of Hainan Province,project number:Hnky2022ZD-25.
The city airport serves as a fundamental infrastructure for air trans-portation,with its development planning largely contingent upon the prognosti-cation of future airport activities’busyness.Given the multifarious ...
关键词:AIRPORT Passengerflow Grey models PREDICT 
Research on High Precision Autonomous Navigation of Shared Balancing Vehicles Based on EKF-SLAM
《国际计算机前沿大会会议论文集》2023年第2期237-251,共15页Xinyu Cheng Yanqing Wang Dingdong Guo Xuewei Li Yiming Gao 
In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM alg...
关键词:Shared balancing vehicle EKF-SLAM Autonomous navigation GPS IMU 
Link Prediction Based on the Relational Path Inference of Triangular Structures
《国际计算机前沿大会会议论文集》2023年第2期255-268,共14页Xin Li Qilong Han Lijie Li Ye Wang 
This work was supported by the National Key R&D Program of China under Grant No.20201710200.
Link prediction is used to complete the knowledge graph.Convolu-tional neural network models are commonly used for link prediction tasks,but they only consider the direct relations between entity pairs,ignoring the se...
关键词:Link Prediction Triangular Structure Relational Path Inference Attention Mechanism Convolution Neural Network Model 
Research on Link Prediction Algorithms Based on Multichannel Structure Modelling
《国际计算机前沿大会会议论文集》2023年第2期269-284,共16页Gege Li Lin Zhou Zhonglin Ye Haixing Zhao 
This article was supported by the National Key Research and Development Program of China(No.2020YFC1523300);the Innovation Platform Construction Project of Qinghai Province(2022-ZJ-T02).
Today’s link prediction methods are based on the network structure using a single-channel approach for prediction,and there is a lack of link prediction algorithms constructed from a multichannel approach,which makes...
关键词:Link Prediction Subgraph Sampling Matrix Factorization Similarity Matrix MULTICHANNEL 
Modal Interactive Feature Encoder for Multimodal Sentiment Analysis
《国际计算机前沿大会会议论文集》2023年第2期285-303,共19页Xiaowei Zhao Jie Zhou Xiujuan Xu 
Multimodal Sentiment analysis refers to analyzing emotions in infor-mation carriers containing multiple modalities.To better analyze the features within and between modalities and solve the problem of incomplete multi...
关键词:Multimodal Sentiment Analysis Modal Interaction Feature ENCODER 
Type-Augmented Link Prediction Based on Bayesian Formula
《国际计算机前沿大会会议论文集》2023年第2期304-317,共14页Ye Wang Enze Luo Lijie Li Wenjian Tao 
This work was supported by the National Key R&DProgram of China under Grant No.2020YFB1710200.
Knowledge graphs(KGs)play a pivotal role in various real-world applications,but they are frequently plagued by incomplete information,which manifests in the form of missing entities.Link prediction,which aims to infer...
关键词:Knowledge Graph Link Prediction Bayes Formula Type Information 
Multitask Graph Neural Network for Knowledge Graph Link Prediction
《国际计算机前沿大会会议论文集》2023年第2期318-329,共12页Ye Wang Jianhua Yang Lijie Li Jian Yao 
This work was supported by the National Key R&D Program of China under Grant No.2020YFB1710200.
Predicting entities in knowledge graphs is a crucial research area,and convolutional neural networks(CNNs)have exhibited significant performance due to their ability to generate expressive feature embeddings.However,se...
关键词:Link Prediction Multitask Learning Graph Convolution Network 
A Short Text Classification Model Based on Chinese Part-of-Speech Information and Mutual Learning
《国际计算机前沿大会会议论文集》2023年第2期330-343,共14页Yihe Deng Zuxu Dai 
Short text classification is one of the common tasks in natural language processing.Short text contains less information,and there is still much room for improvement in the performance of short text classification model...
关键词:Natural language processing Neural network Chinese short text classification BERT Mutual deep learning 
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