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计算机工程 ›› 2009, Vol. 35 ›› Issue (15): 82-84. doi: 10.3969/j.issn.1000-3428.2009.15.028

• 软件技术与数据库 • 上一篇    下一篇

基于依存关系的语义角色标注

汪红林,王红玲,周国栋   

  1. (江苏省计算机信息处理技术重点实验室苏州大学计算机科学与技术学院,苏州 215006)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-08-05 发布日期:2009-08-05

Semantic Role Labeling Based on Dependency Relationship

WANG Hong-lin, WANG Hong-ling, ZHOU Guo-dong   

  1. (Jiangsu Provincial Key Lab for Computer Information Processing Technology, School of Computer Science & Technology, Soochow University, Suzhou 215006)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-08-05 Published:2009-08-05

摘要: 针对以句法成分为基本标注单元语义角色标注的瓶颈问题,描述一个以依存关系为标注单元的语义角色标注系统,经过依存关系分析、谓词标识、特征抽取、角色识别和角色分类,最终在CoNLL2008 SRL Shared Task自动依存分析的WSJ测试集取得了较好的结果,F1值达到了80.94%,结果证明其性能明显好于基于句法分析的SRL。

关键词: 语义角色标注, 依存分析, 依存关系

Abstract: Aiming at the bottlenecks of syntactic tree-based Semantic Role Labeling(SRL), this paper explores dependency relationship-based semantic role labeling. By properly integrating dependency parsing, predicate identification, feature extraction, semantic role identification and semantic role classification, this system achieves the F1 measure of 80.94% on the WSJ portion of the CoNLL2008 SRL Shared Task, using automatic dependency parsing. Experimental results show that it is better than the F1 measure of syntactic tree-based semantic role labeling apparently.

Key words: Semantic Role Labeling(SRL), dependency parsing, dependency relationship

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