计算机应用与软件2011，Vol.28Issue(5)：31-33,54,4.
基于依存关系的中文名词性谓词语义角色标注研究
DEPENDENCY-BASED SEMANTIC ROLE LABELING IN CHINESE LANGUAGE FOR NOMINAL PREDICATE
摘要
Abstract
Semantic Role Labeling is an important component of Natural Language Processing. It plays a critical role in machine translation. This paper explores a Chinese dependency-based Semantic Role Labeling system for Nominal Predicate by using a maximum entropy classifier. In particular, various kinds of lexical, syntactic and semantic features are incorporated to improve the performance with systematic evaluation on the dataset which is transferred from constituent-based corpus ( Chinese NomBank). Experiments with various syntactic or semantic feature and the combination of both prove the system can achieve 78.09 in labeled Fl for gold corpus and 67.42 for automatic parser tree.关键词
语义角色标注/谓词标注/名词性谓词/依存关系Key words
Semantic role labeling/ Predicate labeling /Nominal predicate/ Dependency relationship引用本文复制引用
袁晓虹,王红玲,王步康,周国栋..基于依存关系的中文名词性谓词语义角色标注研究[J].计算机应用与软件,2011,28(5):31-33,54,4.基金项目
国家自然科学基金(60873150) （60873150）
江苏省高校省级重点实验室开放课题(KJS0925). （KJS0925）
