中文名词性谓词语义角色标注研究-苏州大学.doc

中文名词性谓词语义角色标注研究* Supported by the National Natural Science Foundation of China under Grant Nos(国家自然科学基金);the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z147 (国家高技术研究发展计划(863)); the National Research Foundation for the Doctoral Program of Higher Education of China under Grant Nos.20060285008, 200802850006 (国家教育部博士点基金); the Natural Science Foundation of Jiangsu Province of China under Grant No.BK2008160 (江苏省自然科学基金) 李军辉+, 周国栋, 朱巧明, 钱培德 (苏州大学 计算机科学与技术学院, 江苏 苏州 215006 ) Semantic Role Labeling in Chinese Language for Nominal Predicates LI Jun-Hui+, ZHOU Guo-Dong, ZHU Qiao-Ming, QIAN Pei-De (School of Computer Science Technology, Soochow University, Suzhou 215006, China) + Corresponding author: E-mail: lijunhui@ Abstract: This paper explores semantic role labeling (SRL) in Chinese language for nominal predicates. In addition to widely adapted features from verbal SRL, various nominal predicate-specific features are also explored. Moreover, we improve the nominal SRL performance by properly integrating features derived from a state-of-the-art verbal SRL system. Finally, we detail nominal predicate recognition, which is essential in a fully automatic nominal SRL system. Evaluation on Chinese NomBank shows that proper integration of a verbal SRL system significantly improves the performance of nominal SRL. It also shows that our nominal SRL system achieves the performance of 72.67 in F1-measure on golden parse trees and golden predicates, and much outperforms the state-of-the-art nominal SRL in Chinese language. However, the performance drops to 55.14 in F1-measure on automatic parse trees and automatic predicates. This suggests the great challenge in Chinese nominal SRL as well as the disappointment of Chinese syntactic parsing. Key words: semantic role labeling; nominal predicate-specific features; verbal SRL features; nominal predicate recognition 摘 要: 本文研究了中文名词性谓词的语义角色标注(SRL).在使用传统动词性谓词SRL相关特征的基础上,进一步提出了名词