摘要: 提出一种基于短语和依存句法结构的中文语义角色标注(SRL)方法。联合短语句法特征和依存句法特征,对句法树进行剪枝,过滤句法树上不可能担当语义角色的组块短语单元和关系结点,对担当语义角色的组块或节点进行角色类别标注。基于正确句法树和正确谓词的识别结果表明,该方法的SRL性能F1值为73.53%,优于目前国内外的同类系统。
关键词:
语义角色标注,
短语句法特征,
依存句法特征,
名词性谓词,
句法结构
Abstract: This paper proposes a Chinese Semantic Role Labeling(SRL) based on phrase and dependency syntactic structure. Combining the features of phrase and dependency syntactic structure, syntax tree are pruned, filtrates group piece phrases unit and relationship nodes of syntax tree which can’t assume semantic role, labels role category for group piece and nodes which assume semantic role. Recognition results show that the nominal SRL approach achieves the performance of 73.53% in F1-measure on golden parse trees and golden predicates.
Key words:
Semantic Role Labeling(SRL),
phrase syntactic feature,
dependency syntactic feature,
nominal predicate,
syntactic structure
中图分类号:
徐靖, 李军辉, 朱巧明, 李培峰. 基于短语和依存句法结构的中文语义角色标注[J]. 计算机工程, 2011, 37(24): 169-172.
XU Jing, LI Jun-Hui, SHU Qiao-Meng, LI Pei-Feng. Chinese Semantic Role Labeling Based on Phrase and Dependency Syntactic Structure[J]. Computer Engineering, 2011, 37(24): 169-172.