基于深度学习的自然语言处理技术的发展及其在农业领域的应用

doi:10.19788/j.issn.2096-6369.190104

Abstract

Abstract:

Deep learning is an emerging but rapidly advancing technology having a profound impact on modern natural language processing (NLP) technology. This paper discusses recent developments of NLP technology driven by deep neural networks (DNN), as well as new products and recent cases. In particular, the paper examines advances relevant to the agriculture domain, such as DNN-based word embedding vector construction, the computational ability to recognize and name domain-specific entities and agricultural literature terms. Additionally, it analyzes the implementation details of related technologies. Finally, the paper reviews the trends and outlook for NLP technology, highlighting the significance of NLP technology for intelligent applications in agriculture.

Key words: Agriculture big data, NLP, smart agriculture, machine learning, data mining

CLC Number:

TP181

Cui Yunpeng, Wang Jian, Liu Juan. The development of deep learning based Natural Language Processing (NLP) technology and applications in agriculture[J].Journal of Agricultural Big Data, 2019, 1(1): 38-44.

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The development of deep learning based Natural Language Processing (NLP) technology and applications in agriculture

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