DEEP LEARNING IN NATURAL LANGUAGE PROCESSING: A STATE-OF-THE-ART SURVEY

被引：25

作者：

Chai, Junyi ^{[1
]}

Li, Anming ^{[2
]}

机构：

[1] Hong Kong Baptist Univ, Beijing Normal Univ, United Int Coll, Div Business & Management, Zhuhai, Peoples R China

[2] Hong Kong Polytech Univ, Fac Business, Dept Management & Mkt, Hung Horn,Kowloon, Hong Kong, Peoples R China

来源：

PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC) | 2019年

关键词：

Deep Learning; Natural Language Processing; Video/Speech Recognition; Literature Review;

D O I：

10.1109/icmlc48188.2019.8949185

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Deep learning raises interests of research community as their overwhelming successes in information processing such specific tasks as video/speech recognition. In this paper, we provide a state-of-the-art analysis of deep learning with its applications in an important direction: natural language processing. We attempt to provide a clear and critical summarization for researchers and participators who are interested in incorporating the deep learning techniques in their specific domains.

引用

页码：535 / 540

页数：6

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