CASIA OpenIR  > 数字内容技术与服务研究中心  > 听觉模型与认知计算
Improving Short Text Classification by Learning Vector Representations of Both Words and Hidden Topics
Zhang H(张恒)
Source PublicationKnowledge-Based Systems
2016
Pages1-11
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11014
Collection数字内容技术与服务研究中心_听觉模型与认知计算
Affiliation中科院自动化研究所
Recommended Citation
GB/T 7714
Zhang H. Improving Short Text Classification by Learning Vector Representations of Both Words and Hidden Topics[J]. Knowledge-Based Systems,2016:1-11.
APA Zhang H.(2016).Improving Short Text Classification by Learning Vector Representations of Both Words and Hidden Topics.Knowledge-Based Systems,1-11.
MLA Zhang H."Improving Short Text Classification by Learning Vector Representations of Both Words and Hidden Topics".Knowledge-Based Systems (2016):1-11.
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