Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3320-3326

New hierarchical interactive answer selection model based on Transformer and dual attention fusion

Zheng Qiaoyue
Duan Youxiang
Sun Qifeng
College of Computer Science & Technology, China University of Petroleum, Qingdao Shandong 266580, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0183

Abstract

Answer selection is a key part of question answering system, and improving its accuracy is also one of the important contents of question answering. In recent years, answer selection task has achieved good results using deep learning techniques. But there are still some limitations. Among them, model's low utilization of semantic information, lack of local semantic attention, and poor ability to perceive the interaction between sentences are particularly prominent. Regarding the issue above, this paper proposed an answer selection model NHITAS based on Transformer and dual attention fusion. Firstly, this model extracted question categories and keywords for preliminary screening of answers in the information preprocessing part, and introduced external knowledge as additional semantic supplements for sentences. Secondly, it used a hierarchical interactive transformer to model the semantic context of sentences, and proposed two structures to learn semantic features, respectively UP-Transformer and DA-Transformer. Finally, dual attention fusion layers not only filtered sentence noise but also enhanced semantic interaction between question and answer. This paper tested the performance of NHITAS on the WikiQA and TrecQA datasets. The experimental results show that this model can effectively improve the effect of the answer selection task compared with other models.

Foundation Support

中石油重大科技专项资助项目(ZD2019-183-006)
中央高校基础科研业务专项资金资助项目(20CX05017A)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0183
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3320-3326
Serial Number: 1001-3695(2022)11-019-3320-07

Publish History

[2022-06-24] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

郑巧月, 段友祥, 孙岐峰. 基于Transformer和双重注意力融合的分层交互答案选择模型 [J]. 计算机应用研究, 2022, 39 (11): 3320-3326. (Zheng Qiaoyue, Duan Youxiang, Sun Qifeng. New hierarchical interactive answer selection model based on Transformer and dual attention fusion [J]. Application Research of Computers, 2022, 39 (11): 3320-3326. )

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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