数字图书馆论坛Issue(3)：2-9,8.DOI:10.3772/j.issn.1673-2286.2016.3.001
基于多标签分类的引文全局功能识别研究
A Study of Global Citation Function Recognition Based on Multi-Label Classification
摘要
Abstract
Citation function is defined as the author's reason for citing a given paper. Compared with the local citation function which only considers the few context sentences, global citation function takes the global information into account. Its automatic recognition research wil exert important impact on academic text mining, e.g. citation recommendation, citation indexing, semantic citation network construction, etc. Based on the idea that“a cited article may appear once or multiple times in the citing article”, this paper proposes to deal with Global Citation Function problem in a way of Multi-Label Classification. A significant improvement over baseline method shows the effectiveness of multi-label classification method on this research problem.关键词
引文全局功能/多标签分类/学术文本挖掘/引文分析Key words
Global Citation Function/Multi-Label Classification/Academic Text Mining/Citation Analysis分类
社会科学引用本文复制引用
刘兴帮,陆伟,孟睿..基于多标签分类的引文全局功能识别研究[J].数字图书馆论坛,2016,(3):2-9,8.基金项目
本研究得到国家自然科学基金面上项目“面向词汇功能的学术文本语义识别与知识图谱构建”（编号71473183）和武汉大学与中国科学技术信息研究所合作项目“科学文献的语义功能识别与深度利用”资助。 （）
