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南海疆维权文献证据知识元价值体系与多标签自动分类研究

王燕红 杨海平 程为 彭玉芳 朱梦蝶

情报杂志2025,Vol.44Issue(5):174-181,8.
情报杂志2025,Vol.44Issue(5):174-181,8.DOI:10.3969/j.issn.1002-1965.2025.05.021

南海疆维权文献证据知识元价值体系与多标签自动分类研究

The Evidence Knowledge Element Value System and Automatic Classification of South China Sea Territory Rights Protection Literature

王燕红 1杨海平 2程为 3彭玉芳 4朱梦蝶2

作者信息

  • 1. 杭州电子科技大学中国科教评价研究院 杭州 310018
  • 2. 南京大学信息管理学院 南京 210023
  • 3. 南京农业大学信息管理学院 南京 210095
  • 4. 南京工程学院经济与管理学院 南京 211167
  • 折叠

摘要

Abstract

[Research purpose]This study aims to fill up the lack of revealing the value of evidence knowledge in the South China Sea territorial rights protection literature,and enrich the automatic classification research of South China Sea territorial rights protection evi-dence for South China Sea issues and South China Sea territorial rights protection knowledge services.[Research method]It classifies fine-grained evidence knowledge from the pragmatic value level by going deep into the literature content to the knowledge element level,reveals the value of evidence knowledge in the literature in depth,constructs the meta-value system of evidence knowledge in the South China Sea territorial rights protection literature,and uses ALBERT to realize the automatic classification of evidence knowledge element with multiple labels.[Research result/conclusion]The implementation of multiple semantic classifications of evidence knowledge ele-ments in the South China Sea territorial rights protection literature is helpful for semantic retrieval and association in the knowledge discov-ery scenario of South China Sea territorial rights protection literature,serving the South China Sea territorial rights protection strategy.

关键词

南海疆维权文献/价值体系/证据知识元/多标签/文本分类

Key words

South China Sea territorial rights protection Literature/value system/evidence knowledge element/multi label/text classifi-cation

引用本文复制引用

王燕红,杨海平,程为,彭玉芳,朱梦蝶..南海疆维权文献证据知识元价值体系与多标签自动分类研究[J].情报杂志,2025,44(5):174-181,8.

基金项目

国家社会科学基金重大项目"南海疆文献资料整理中的知识发现与维权证据链建构研究"(编号:19ZDA347) (编号:19ZDA347)

教育部人文社会科学基金青年项目"基于多模态深度学习的细粒度南海疆证据资料抽取与分类研究"(编号:22YJC870012)研究成果. (编号:22YJC870012)

情报杂志

OA北大核心

1002-1965

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