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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1385-1389,1395

Terminology extraction for new energy vehicle based on BLSTM_attention_CRF model

Ma Jianhong
Zhang Yamei
Yao Shuang
Zhang Bingfei
Guo Changhong
School of Computer Science & Software, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0741

Abstract

In order to improve the accuracy and recall rate of terminology extraction results in the field of new energy vehicles, this paper presented a domain terminology extraction model for the new energy vehicles patent text. Traditional domain terminology extraction methods rely too much on human-defined features and specialized domain knowledge to automatically mine implicit features whose recognition performance greatly depends on the quality of the selected features. In order to solve the problems, this paper proposed a model from the perspective of deep learning. Firstly, it extracted the domain terms by a combination of BLSTM(bidirectional long short-term memory) model based on the attention mechanism and CRF(conditional random fields) model(BLSTM_attention_CRF model), and then it corrected the result by a combination of dictionary and rules. Experimental results show that the accuracy of BLSTM-ATT-CRF model can reach more than 86%, which shows that BLSTM-ATT-CRF model is effective to term extraction of new energy vehicles.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0741
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Algorithm Research & Explore
Pages: 1385-1389,1395
Serial Number: 1001-3695(2019)05-022-1385-05

Publish History

[2019-05-05] Printed Article

Cite This Article

马建红, 张亚梅, 姚爽, 等. 基于BLSTM_attention_CRF模型的新能源汽车领域术语抽取 [J]. 计算机应用研究, 2019, 36 (5): 1385-1389,1395. (Ma Jianhong, Zhang Yamei, Yao Shuang, et al. Terminology extraction for new energy vehicle based on BLSTM_attention_CRF model [J]. Application Research of Computers, 2019, 36 (5): 1385-1389,1395. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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