A Method of Word Sense Disambiguation with Restricted Boltzmann Machine

ZHANG Chun-xiang; LI Hai-rui; GAO Xue-yao

doi:10.15938/j.jhust.2019.05.019

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A Method of Word Sense Disambiguation with Restricted Boltzmann Machine

更新时间：2026-08-31

- A Method of Word Sense Disambiguation with Restricted Boltzmann Machine
- Vol. 24, Issue 5, Pages: 116-121(2019)
- 作者机构：
  
  1. 哈尔滨理工大学软件与微电子学院,黑龙江,哈尔滨,150080
  2. 哈尔滨理工大学计算机科学与技术学院,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2019.05.019
  CLC： TP3912
- Published：2019
- 稿件说明：
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ZHANG Chun-xiang, LI Hai-rui, GAO Xue-yao. A Method of Word Sense Disambiguation with Restricted Boltzmann Machine[J]. 2019, 24(5): 116-121.
DOI：

ZHANG Chun-xiang, LI Hai-rui, GAO Xue-yao. A Method of Word Sense Disambiguation with Restricted Boltzmann Machine[J]. 2019, 24(5): 116-121. DOI： 10.15938/j.jhust.2019.05.019.

摘要

针对汉语一词多义现象，根据上下文所蕴含的语言学知识，采用受限玻尔兹曼机(restricted boltzmann machine，RBM)来确定歧义词汇的真实含义。选取歧义词汇左右邻接的四个词单元中的词形、词性和语义类作为消歧特征。同时，使用RBM来构建词义消歧模型。结合SemEval-2007: Task#5的训练语料和哈尔滨工业大学的语义标注语料来优化RBM的参数。利用SemEval-2007: Task#5的测试语料对词义消歧模型进行测试。实验结果表明：相对于贝叶斯词义消歧分类器而言，受限玻尔兹曼机词义消歧方法的消歧准确率有所提高。

Abstract

For polysemy phenomenon in Chinese

Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form

part of speech and semantic categories in four left and right lexical units adjacent to an ambiguous word are selected as disambiguation features At the same time

RBM is used to construct word sense disambiguation (WSD) model Training corpus in SemEval-2007: Task#5 and semantic annotation corpus in Harbin Institute of Technology are used to optimize parameters of RBM Test corpus in SemEval-2007: Task#5 is used to evaluate WSD model Experimental results show that compared with Bayesian word sense disambiguation classifier

disambiguation accuracy of WSD method with RBM is improved

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Related Author

ZHANG Chunxiang

ZHAO Lingyun

GAO Xueyao

PEI Li-xin

XU Zhen-yu

LI Da-yong

ZENG Tao

ZHOU Yikai

Related Institution

School of Computer Science and Technology, Harbin University of Science and Technology

School of Material Science and Engineering，Harbin University of Science and Technology

School of Civil Engineering and Architecture, Harbin University of Science and Technology

School of Material Science and Engineering, Harbin University of Science and Technology

School of Sciences, Harbin University of Science Technology

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