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EMBEDDING: 作品数：637被引量：933H指数：11; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：禹龙田生伟赵建国孟欣裴楠更多>>; 相关机构：新疆大学华东师范大学微梦创科网络科技(中国)有限公司吉林大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划广东省自然科学基金更多>>

LGHAE: Local and Global Hyper-relation Aggregation Embedding for Link Prediction: 《国际计算机前沿大会会议论文集》2023年第2期364-378,共15页Peikai Yuan Zhenheng Qi Hui Sun Chao Liu; The Knowledge Graph(KGs)have profoundly impacted many researchﬁelds.However,there is a problem of low data integrity in KGs.The binary-relational knowledge graph is more common in KGs but is limited by less informatio...; 关键词：Knowledge Graph Hyper-relation Link Prediction Knowledge Graph Completion

A Text Correlation Algorithm for Stock Market News Event Extraction: 《国际计算机前沿大会会议论文集》2021年第2期55-68,共14页Jiachen Wu Yue Wang; To extract effective information in massive financial news,this paper proposes amethod to calculate the correlation between text and text set by extracting structured events in the stockmarket news text,and provides m...; 关键词：Text relevance Structured event Word embedding

Effective Vietnamese Sentiment Analysis Model Using Sentiment Word Embedding and Transfer Learning: 《国际计算机前沿大会会议论文集》2020年第2期36-46,共11页Yong Huang Siwei Liu Liangdong Qu Yongsheng Li; Chinese National Science Foundation(#61763007);the higher education research project of National Ethnic Affairs Commission“Research and Practice on the Training Mode of Applied Innovative SoftwareTalents Base on Collaborative Education and innovation” (17056);the InnovationTeam project of Xiangsihu Youth Scholars of Guangxi University For Nationalities。; Sentiment analysis is one of the most popular fields in NLP,and with the development of computer software and hardware,its application is increasingly extensive.Supervised corpus has a positive effect on model trainin...; 关键词：Sentiment analysis Long short-term memory Attention mechanism Sentiment word vector Transfer learning

Weighted Aggregator for the Open-World Knowledge Graph Completion: 《国际计算机前沿大会会议论文集》2020年第1期283-291,共9页Yueyang Zhou Shumin Shi Heyan Huang; the National Natural Science Foundation of China(Grant No.61671064,No.61732005);National Key Research&Development Program(Grant No.2018YFC0831700).; Open-world knowledge graph completion aims to find a set of missing triples through entity description,where entities can be either in or out of the graph.However,when aggregating entity description’s word embedding ...; 关键词：OPEN LSTM EMBEDDING

TPOS Tagging Method Based on BiLSTM_CRF Model: 《国际计算机前沿大会会议论文集》2019年第1期501-503,共3页Lili Wang Ziyan Chen Hongwu Yang; Part of speech (POS) tagging determines the attributes of each word, and it is the fundamental work in machine translation, speech recognition, information retrieval and other fields. For Tibetan part-of-speech (TPOS)...; 关键词：DEEP LEARNING WORD EMBEDDING MODEL TIBETAN part-of-speech

Statute Recommendation Based on Word Embedding: 《国际计算机前沿大会会议论文集》2019年第1期546-548,共3页Peitang Ling Zian Wang Yi Feng Jidong Ge Mengting He Chuanyi Li Bin Luo; The statute recommendation problem is a sub problem of the automated decision system, which can help the legal staff to deal with the process of the case in an intelligent and automated way. In this paper, an improved...; 关键词：Statute RECOMMENDATION WORD EMBEDDING WORD mover’s DISTANCE COLLABORATIVE FILTERING

Knowledge Graph Embedding Based on Adaptive Negative Sampling: 《国际计算机前沿大会会议论文集》2019年第1期562-563,共2页Saige Qin Guanjun Rao Chenzhong Bin Liang Chang Tianlong Gu Wen Xuan; the National Natural Science Foundation of China (Nos. U1501252, 61572146 and U1711263);the Natural Science Foundation of Guangxi Province (No. 2016GXNSFDA380006);the Guangxi Innovation-Driven Development Project (No. AA17202024);the Guangxi Universities Young and Middle-aged Teacher Basic Ability Enhancement Project (No. 2018KY0203).; Knowledge graph embedding aims at embedding entities and relations in a knowledge graph into a continuous, dense, low-dimensional and realvalued vector space. Among various embedding models appeared in recent years, t...; 关键词：ADAPTIVE NEGATIVE sampling KNOWLEDGE GRAPH EMBEDDING Translation-based model

Research on Cross-Language Retrieval Using Bilingual Word Vectors in Different Languages: 《国际计算机前沿大会会议论文集》2019年第1期462-465,共4页Yulong Li Dong Zhou; National Natural Science Foundation of China under Project No. 61876062;Scientific Research Fund of Hunan Provincial Education Department of China under Project No. 16K030;Hunan Provincial Natural Science Foundation of China under Project No. 2017JJ2101, Hunan Provincial Innovation Foundation for Postgraduate under Project No. CX2018B671.; Bilingual word vectors have been exploited a lot in cross-language information retrieval research. However, most of the research is currently focused on similar language pairs. There are very few studies exploring the...; 关键词：CROSS-LANGUAGE information retrieval BILINGUAL word EMBEDDING Genetic PROXIMITY Language PAIRS

Research Progress of Knowledge Graph Based on Knowledge Base Embedding: 《国际计算机前沿大会会议论文集》2018年第2期16-16,共1页Tang Caifang Rao Yuan Yu Hualei Cheng Jiamin; 关键词：KNOWLEDGE GRAPH KNOWLEDGE representationKnowledge EMBEDDING DEEP LEARNING

Context-Aware Network Embedding via Variation Autoencoders for Link Prediction: 《国际计算机前沿大会会议论文集》2018年第1期24-24,共1页Long Tian Dejun Zhang Fei Han Mingbo Hong Xiang Huang Yilin Chen Yiqi Wu

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