[1]王睿怡,罗森林,吴舟婷,等.深度学习在汉语语义分析的应用与发展趋势[J].计算机技术与发展,2019,29(09):110-116.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 022]
　WANG Rui-yi,LUO Sen-lin,WU Zhou-ting,et al.Application and Development Trend of Deep Learning in Chinese Semantic Analysis[J].,2019,29(09):110-116.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 022]
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深度学习在汉语语义分析的应用与发展趋势()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年09期
页码:
110-116
栏目:
应用开发研究
出版日期:
2019-09-10

文章信息/Info

Title:
Application and Development Trend of Deep Learning in Chinese Semantic Analysis
文章编号:
1673-629X(2019)09-0110-07
作者:
王睿怡; 罗森林; 吴舟婷; 潘丽敏
北京理工大学 信息系统及安全对抗实验中心,北京 100081
Author(s):
WANG Rui-yi; LUO Sen-lin; WU Zhou-ting; PAN Li-min
Information System and Security &Countermeasures Experimental Center,Beijing Institute of Technology,Beijing 100081,China
关键词:
自然语言处理; 深度学习; 语义知识库; 汉语语义分析; 发展趋势
Keywords:
natural language processing; deep learning; semantic knowledge base; Chinese semantic analysis; development trend
分类号:
TP39
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 09. 022
摘要:
人工智能分为感知和认知两个研究阶段。 近年来,随着大数据技术和以深度学习为代表的机器学习技术的迅猛发展,人工智能在感知阶段进展飞速。 然而,在认知阶段,尤其是在自然语言理解方面的发展仍较为有限。 与人类丰富的语言经验、语言知识储备相比,仅仅依靠基于数据驱动的深度学习很难产生真正的智能。 为了打破深度学习的性能瓶颈,必须将语义分析的理论和技术与深度学习模型相结合。 因此,汉语语义分析理论和技术具有重要研究价值。 汉语语义分析可以从海量的中文文本信息中挖掘语义信息,并提供智能的知识服务。 文中主要描述了目前主流的汉语语义体系及其语义知识库的构建情况,介绍了汉语语义自动分析方法的研究进展和将汉语语义信息融入深度学习模型中的应用,最后对汉语语义分析的发展与态势进行了展望。
Abstract:
Artificial intelligence is divided into two research directions:perception and cognition. Recently,with the rapid development of big data technology and machine learning technology represented by deep learning,artificial intelligence has progressed rapidly in the perception. However,it is still limited to develop cognitive intelligence,especially in natural language understanding. Compared to rich experience of language and language knowledge reserves,it is difficult to generate true intelligence by relying solely on data-driven deep learning. In order to have a breakthrough of deep learning,the combination of theory and technology of semantic analysis and the deep learning model must be promoted. Therefore,it is rewarding to do a research on Chinese semantic analysis theory and technology. Semantic information can be selected from a large amount of information in Chinese semantic analysis,which provides intelligent knowledge services. Based on the current mainstream Chinese semantic system and the construction of its semantic knowledge base,we mainly focus on the introduction of the research progress in Chinese semantic automatic analysis method and the application of Chinese semantic information in the deep learning model,which will provide an outlook of the developments and situations in future Chinese semantic analysis.

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更新日期/Last Update: 2019-09-10