Algorithm Research & Explore
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708-711,730

New words discovery method based on CRF and information entropy in specific domain

Fu Yao1
Wan Jing1
Xing Lidong2
1. College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China
2. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Abstract

Aiming at the problem of automatic identification of existing concepts and discovering new concepts in a specific field, this paper proposed a new words discovery method based on conditional random field(CRF) and information entropy. This method used CRF to predict the boundary of conceptual words in text, selected the candidates of the new concept with the comparison to the existing concepts in the dictionary and found the probably location in text. Then it used the mutual information and the left and right entropy to judge the internal integration degree and the boundary freedom of the concept in the concept window for discovering new professional concepts. Experiments show that the concept discovery using the proposed method has a better effect than the method of using CRF alone. The accuracy of the concept discovery based on word and words model is respectively improved by 20.06% and 46.54%.

Foundation Support

国家科技支撑计划资助项目(2015BAK03B04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0623
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 708-711,730
Serial Number: 1001-3695(2020)03-015-0708-04

Publish History

[2020-03-05] Printed Article

Cite This Article

付瑶, 万静, 邢立栋. 基于条件随机场与信息熵的特定领域概念发现 [J]. 计算机应用研究, 2020, 37 (3): 708-711,730. (Fu Yao, Wan Jing, Xing Lidong. New words discovery method based on CRF and information entropy in specific domain [J]. Application Research of Computers, 2020, 37 (3): 708-711,730. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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