电子学报2017，Vol.45Issue(10)：2533-2539,7.DOI:10.3969/j.issn.0372-2112.2017.10.031
利用配价信息的语义角色标注
Semantic Role Labeling Utilizing Valence Information
摘要
Abstract
Semantic roles labeling is a kind of shallow semantic analysis.Existing Chinese semantic analysis methods and semantic roles labeling systems do not effectively characterize Chinese essential features,and it causes the currently larger difference between Chinese SRL systems and English SRL systems.Valence structures can better characterize syntactic structures and semantic constitution relations of Chinese sentences,so we appropriately modified the semantic roles labeling systems and incorporated the valence information of predicates into semantic roles labeling.Experimental results show that proper use of valence information significantly improves the performance of semantic roles labeling system:the verbal SRL approach achieves the performance of 93.69％ in F1-measure and the nominal SRL approach achieves the performance of 79.23％ in F1-measure on golden parse trees and golden predicates,and all outperform the state-of-the-art SRL systems.关键词
配价结构/动词性谓词/名词性谓词/语义角色标注Key words
valence structure/verbal predicates/nominal predicates/semantic role labeling分类
信息技术与安全科学引用本文复制引用
袁里驰..利用配价信息的语义角色标注[J].电子学报,2017,45(10):2533-2539,7.基金项目
国家自然科学基金(No.61562034,No.61262035) （No.61562034,No.61262035）
江西省科技支撑计划(No.20151BBE50082) （No.20151BBE50082）
江西省自然科学基金(No.20142BAB207028) （No.20142BAB207028）
