App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 6

Multi-granularity selection and discrimination framework for long-text machine reading comprehension

Zhang Yuwei
Huang Rui
Duan Zongtao
Zhang Junzhe
Wang Shaowei
School of Information Engineering, Chang'an University, Xi'an 710018, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0417

Abstract

To address answer truncation and insufficient cross-paragraph semantic modeling caused by input length limits of pre-trained models, this study proposes a machine reading comprehension method based on a Multi-Granularity Screening and Discrimination Framework (MGSD) . This method utilizes a two-stage strategy involving coarse-grained paragraph filtering and fine-grained block importance discrimination. In the first stage, paragraph-level filtering narrowed the candidate text scope. In the second stage, an attention-based model discriminated the importance of text blocks, while a coverage-aware constraint algorithm enhanced discrimination accuracy and coverage. Experimental results on the NewsQA dataset showed that the F1 score exceeded BERT-base and ALBERT-base by 3.9 and 6.8 percentage points, respectively, and surpassed the BERT model using only coarse-grained filtering by 1.2 percentage points. This method improves answer extraction accuracy and overall performance while maintaining global semantic consistency.

Foundation Support

陕西省特支计划科技创新领军人才资助项目(TZ0336)
长安大学中央高校基本科研业务费专项资金资助项目(300102244301)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0417
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 6

Publish History

[2026-02-25] Accepted Paper

Cite This Article

张雨薇, 黄睿, 段宗涛, 等. 面向长文本的多粒度筛选判别框架的机器阅读理解方法 [J]. 计算机应用研究, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0417. (Zhang Yuwei, Huang Rui, Duan Zongtao, et al. Multi-granularity selection and discrimination framework for long-text machine reading comprehension [J]. Application Research of Computers, 2026, 43 (6). (2026-02-25). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0417. )

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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