CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
How to Generate a Good Word Embedding
Lai Siwei1; Liu Kang1; He Shizhu1; Zhao Jun1,2
Source PublicationIEEE INTELLIGENT SYSTEMS
2016-11-01
Volume31Issue:6Pages:5-14
SubtypeArticle
AbstractThree critical components in training word embeddings are the model, corpus, and training parameters. By systemizing existing neural-network-based word embedding methods, it performs experimental comparison among these components using the same corpus.
KeywordWord Embedding
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61533018 ; National Basic Research Program of China(2014CB340503) ; 61272332)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000389221200003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13370
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorLiu Kang
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Lai Siwei,Liu Kang,He Shizhu,et al. How to Generate a Good Word Embedding[J]. IEEE INTELLIGENT SYSTEMS,2016,31(6):5-14.
APA Lai Siwei,Liu Kang,He Shizhu,&Zhao Jun.(2016).How to Generate a Good Word Embedding.IEEE INTELLIGENT SYSTEMS,31(6),5-14.
MLA Lai Siwei,et al."How to Generate a Good Word Embedding".IEEE INTELLIGENT SYSTEMS 31.6(2016):5-14.
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