北京大学学报（自然科学版）2019，Vol.55Issue(1)：1-7,7.DOI:10.13209/j.0479-8023.2018.055
基于词模式嵌入的词语上下位关系分类
Hypernym Relation Classification Based on Word Pattern
摘要
Abstract
The authors propose a hypernym relation classification method based on word pattern, which can effectively alleviate the sparsity problem suffered by the traditional path-based method. Furthermore, this paper makes an effective combination of the path-based method and the distributional method via word pattern embedding. To demonstrate the effectiveness of the proposed approach, the authors manually annotated a Chinese hypernym dataset containing 12000 word pairs. The experimental results show that the proposed word pattern embedding approach is effective and can achieve an F1 score of 95.36%.关键词
上下位关系分类/词模式/词嵌入/词模式嵌入Key words
hypernym relation classification/word pattern/word embedding/word pattern embedding引用本文复制引用
孙佳伟,李正华,陈文亮,张民..基于词模式嵌入的词语上下位关系分类[J].北京大学学报（自然科学版）,2019,55(1):1-7,7.基金项目
国家自然科学基金(61876116, 61673289)和江苏省高校自然科学研究重大项目(16KJA520001)资助 （61876116, 61673289）
