Chinese word sense disambiguation with semantic knowledge

Computer Engineering and Applications ›› 2016, Vol. 52 ›› Issue (3): 119-122.

Previous Articles Next Articles

Chinese word sense disambiguation with semantic knowledge

ZHANG Chunxiang1，2, DENG Long3, GAO Xueyao3, LU Zhimao2

1.School of Software, Harbin University of Science and Technology, Harbin 150080, China
2.College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
3.School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China

Online:2016-02-01 Published:2016-02-03

结合语义知识的汉语词义消歧

张春祥1，2，邓龙3，高雪瑶3，卢志茂2

1.哈尔滨理工大学软件学院，哈尔滨 150080
2.哈尔滨工程大学信息与通信工程学院，哈尔滨 150001
3.哈尔滨理工大学计算机科学与技术学院，哈尔滨 150080

Abstract

Abstract: Word sense disambiguation is an important problem in natural language processing. In order to improve the precision of word sense disambiguation, semantic knowledge of left and right word units is mined starting from the target polysemous word. Based on the Bayesian model, a new method of word sense disambiguation is proposed with semantic information of left and right word units. SemEval-2007：Task#5 is used as training corpus and test corpus. The classifier of word sense disambiguation is optimized. Then the optimized classifier is tested. Experimental results show that the precision of word sense disambiguation is improved.

Key words: word sense disambiguation, polysemous word, Bayesian model, semantic information

摘要： 词义消歧一直是自然语言处理领域中的关键性问题。为了提高词义消歧的准确率，从目标歧义词汇出发，挖掘左右词单元的语义知识。以贝叶斯模型为基础，结合左右词单元的语义信息，提出了一种新的词义消歧方法。以SemEval-2007：Task#5作为训练语料和测试语料，对词义消歧分类器进行优化，并对优化后的分类器进行测试。实验结果表明：词义消歧的准确率有所提高。

关键词: 词义消歧, 歧义词汇, 贝叶斯模型, 语义信息

ZHANG Chunxiang1，2, DENG Long3, GAO Xueyao3, LU Zhimao2. Chinese word sense disambiguation with semantic knowledge[J]. Computer Engineering and Applications, 2016, 52(3): 119-122.

张春祥1，2，邓龙3，高雪瑶3，卢志茂2. 结合语义知识的汉语词义消歧[J]. 计算机工程与应用, 2016, 52(3): 119-122.

[1]	LI Jie, LI Miao, YUAN Xiguo. Detection Algorithm?of Pathogenic Microbes from Next-Generation Sequencing Data [J]. Computer Engineering and Applications, 2021, 57(19): 282-289.
[2]	SHI Kai, HU Yan. Multi-Head Attention and Semantic Video Captioning [J]. Computer Engineering and Applications, 2020, 56(6): 133-139.
[3]	YU Qiancheng, YU Zhiwen, WANG Zhu. Estimating Model Posterior Inference Quality by Using Adversarial Samples to Train Graph Classifier [J]. Computer Engineering and Applications, 2020, 56(17): 142-149.
[4]	CHANG Zhen, DUAN Xianhua, LU Wenchao, PENG Yuan. Multi-scale Saliency Detection Based on Bayesian Framework [J]. Computer Engineering and Applications, 2020, 56(11): 207-213.
[5]	DENG Chen, XIE Linbo. Salient object detection method based on multi-scale contrast and Bayesian model [J]. Computer Engineering and Applications, 2018, 54(8): 172-177.
[6]	ZHANG Jiaming, XI Yaoyi, WANG Bo, TANG Haohao, LI Tiancai. Method of micro-blog event tracking based on word vector [J]. Computer Engineering and Applications, 2016, 52(17): 73-78.
[7]	HAI Yinhua. Development of semantic information knowledge-base in Mongolian [J]. Computer Engineering and Applications, 2016, 52(10): 128-134.
[8]	ZHANG Chunxiang1，2, LUAN Bo1, GAO Xueyao1, LU Zhimao3. Chinese word sense disambiguation directed by syntactic information [J]. Computer Engineering and Applications, 2015, 51(5): 142-145.
[9]	WU Yaofeng1, WANG Wen2, LU Keqing2, WEI Yanding1, CHEN Zichen1. Semantics-based measurement information transmission method for reverse engineering [J]. Computer Engineering and Applications, 2015, 51(20): 140-144.
[10]	LI Jia, XU Qian, WANG Zi, CHEN Zhao. Forest products trading Web messages extraction algorithm based on semantic [J]. Computer Engineering and Applications, 2014, 50(19): 199-204.
[11]	ZHANG Hui, DING Bo, SUN Lijuan. Semantic information exchange upon heterogeneous CAD systems [J]. Computer Engineering and Applications, 2013, 49(11): 149-152.
[12]	YAN Rong, GAO Guanglai. Word sense disambiguation based on word semantic relevancy computation [J]. Computer Engineering and Applications, 2012, 48(27): 109-113.
[13]	GUO Zhi-bing，HUANG Guang-jun，LU Chao-hua. Modified word sense disambiguation algorithm [J]. Computer Engineering and Applications, 2010, 46(19): 148-150.
[14]	FAN Dong-mei，LU Zhi-mao，ZHANG Ru-bo. Word sense disambiguation based on word extending [J]. Computer Engineering and Applications, 2010, 46(15): 10-12.
[15]	DAI Chang-hua,ZHANG Chong,TANG Jiu-yang,XIAO Wei-dong. Method of organizing geographic multidimensional semantic information based on ontology [J]. Computer Engineering and Applications, 2008, 44(29): 153-156.

Chinese word sense disambiguation with semantic knowledge

结合语义知识的汉语词义消歧

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics