Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
37-42

Combining dependency syntactic parsing with interactive attention mechanism for implicit aspect extraction

Wang Lanlana
Yao Chunlonga
Li Xub
Yu Xiaoqiangb
a. School of Information Science & Engineering, b. Engineering Training Center, Dalian Polytechnic University, Dalian Liaoning 116034, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0249

Abstract

Implicit aspect extraction is important for improving the accuracy of fine-grained sentiment analysis. However, existing implicit aspect extraction techniques do not have strong generalization ability when dealing with large-scale data. To address the problem, this paper proposed an implicit aspect extraction model combining dependency syntactic parsing and interactive attention mechanism. First, the model generated the initial representation of the text by the pre-trained language model BERT. Then, it passed the initial representation to the self-attention layer guided by the dependency syntactic parsing. Due to the interactive attention mechanism, the model further extracted the results of the above two processes. Finally it used a classifier to determine the implicit aspect of the sentence. Compared with baseline BERT and other deep neural network models, the proposed model has achieved higher F1 and AUC on the enhanced SemEval implicit aspect dataset, which proves the effectiveness of the model.

Foundation Support

国家重点研发计划专项资助项目(2017YFC0821003-3)
辽宁省自然科学基金资助项目(20180550395)
辽宁省教育厅青年科技人才“育苗”资助项目(J2020113)
辽宁省科技厅科学研究项目(LJKZ0537)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0249
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 37-42
Serial Number: 1001-3695(2022)01-006-0037-06

Publish History

[2021-09-10] Accepted Paper
[2022-01-05] Printed Article

Cite This Article

汪兰兰, 姚春龙, 李旭, 等. 结合依存句法分析与交互注意力机制的隐式方面提取 [J]. 计算机应用研究, 2022, 39 (1): 37-42. (Wang Lanlan, Yao Chunlong, Li Xu, et al. Combining dependency syntactic parsing with interactive attention mechanism for implicit aspect extraction [J]. Application Research of Computers, 2022, 39 (1): 37-42. )

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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