郑州大学学报（理学版）2024，Vol.56Issue(2)：34-42,9.DOI:10.13705/j.issn.1671-6841.2022332
面向中医古籍的隐式关系抽取方法研究
Research on Traditional Chinese Medical Text Implicit Relation Extraction Method
摘要
Abstract
The variety of natural languages and their flexible forms are very rich,which makes implicit relation extraction one of the difficult and challenging tasks in the field of relation extraction.Two theoret-ical techniques were introduced in the field of cognitive linguistics,namely constructive grammar theory and dependent syntactic analysis,to construct a method for extracting implicit relations in traditional Chi-nese medical texts.Firstly,the constructive grammar theory was used to formulate a text structuring strat-egy,analyze and define eight constructive features and five constructive types,and the CART classifica-tion model was used to classify the text.Secondly,the dependent syntactic analysis technique was used to construct a syntactic tree for four constructs,and by analyzing the specific structure of the syntactic tree,the extraction rules of the relational triad between medical entities were formulated to realize the implicit relation extraction.Finally,the tests were conducted on the dataset of the classic traditional Chinese medical text,i.e.,Huangdi Neijing,and the experimental results showed the effectiveness of the method.关键词
关系抽取/中医古籍/隐式关系/构式语法理论/依存句法分析Key words
relation extraction/traditional Chinese medical/implicit relation/constructive grammar the-ory/dependent syntactic analysis分类
信息技术与安全科学引用本文复制引用
马月坤,冯烨琛..面向中医古籍的隐式关系抽取方法研究[J].郑州大学学报（理学版）,2024,56(2):34-42,9.基金项目
河北省三三三人才项目(A201803082). （A201803082）
