林子琦,倪晚成,赵美静,杨一平. 基于概念知识树的双宾短语分析[J]. 中文信息学报, 2017, 31(5): 21-31,49.
LIN Ziqi, NI Wancheng, ZHAO Meijing, YANG Yiping. Parsing of Double-Object Phrases Based on Concept Knowledge Tree. , 2017, 31(5): 21-31,49.
Parsing of Double-Object Phrases Based on Concept Knowledge Tree
LIN Ziqi1, 2, NI Wancheng1, ZHAO Meijing1, YANG Yiping1
1.Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：This paper analyzes the double-object phrase which is a special linguistic phenomenon from the syntactic and semantic perspective, and presents a semantic double-object expressive model based on Conceptual Knowledge Tree (CKT). Moreover, this paper proposes a method for analyzing the double-object phrases, which can automatically translate them into the semantic expressive model. It firstly, in a top-down style, classifies the syntactic parts of a double-object phrase into three parts - double-object verb, direct object and indirect object. And then, in a bottom-up style, it uses CKT to do inferences on these three parts and get their semantic expressions. Experiment on a dataset consisting of 122 double-object verbs and 209 phrases selected from authoritative literatures and grammar dictionaries reveals an accuracy 90.43%.
2017, Vol. 31 
