BRAIN and NERVE Shinkei Kenkyu no Shinpo Volume 71, Issue 1 (January 2019)
Japanese

Deep Learning and Natural Language Processing Yoshimasa Tsuruoka 1 1Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo Keyword: 自然言語処理 , 深層学習 , ニューラルネットワーク , アテンション機構 , Natural language processing , deep learning , neural networks , attention mechanism pp.45-55
Published Date 2019/1/1
DOI https://doi.org/10.11477/mf.1416201215
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Abstract

The field of natural language processing (NLP) has seen rapid advances in the past several years since the introduction of deep learning techniques. A variety of NLP tasks including syntactic parsing, machine translation, and summarization can now be performed by relatively simple combinations of general neural network models such as recurrent neural networks and attention mechanisms. This manuscript gives a brief introduction to deep learning and an overview of the current deep learning-based NLP technology.


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基本情報

18816096.71.1.jpg
BRAIN and NERVE-神経研究の進歩
71巻1号 (2019年1月)
電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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