NSL OpenIR  > 中国科学院文献情报中心(北京)  > 信息系统部
于改红1,2; 张智雄1,2,3; 马娜1,2
Source Publication图书情报工作


Other Abstract

[Purpose/significance] In order to improve the semantic enrichment effect of scientific and technical literature, this paper summarizes the domestic and foreign scientific and technical literature discourse elements automatic annotation model, technologies and methods, and provides reference for text mining, knowledge extraction and semantic analysis system. [Method/process] This paper used Web Scholar and related database search engine to conduct in-depth reading and related research on references and research reports involving scientific and technical papers annotation, discourse elements, knowledge extraction, sentence recognition, automatic article classification, etc. and summarized the research the main technologies of each module in the framework. [Result/conclusion] The annotation of scientific literature discourse elements has very important practical application value. The construction of annotation model needs to take full account of construction thought, annotation field and annotation granularity as well as annotation techniques.

Keyword科技文献 自动标注 语篇元素 标注模型
MOST Discipline CatalogueG251
Indexed By中文核心期刊要目总览
Citation statistics
Document Type期刊论文
Corresponding Author张智雄
First Author Affilication中国科学院文献情报中心
Corresponding Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
于改红,张智雄,马娜. 科技文献语篇元素自动标注模型研究综述[J]. 图书情报工作,2018,62(15):132-144.
APA 于改红,张智雄,&马娜.(2018).科技文献语篇元素自动标注模型研究综述.图书情报工作,62(15),132-144.
MLA 于改红,et al."科技文献语篇元素自动标注模型研究综述".图书情报工作 62.15(2018):132-144.
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