Dependency graph based Chinese semantic parsing

被引：6

作者：

Ding, Y. ^{[1
]}

Shao, Yanqiu ^{[2
]}

Che, Wanxiang ^{[1
]}

Liu, Ting ^{[1
]}

机构：

[1] Harbin Institute of Technology, Harbin

[2] Beijing Language and Culture University, Beijing

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8801卷

关键词：

Auto parsing of dependency graph; Semantic analysis; Semantic dependency graph;

D O I：

10.1007/978-3-319-12277-9_6

中图分类号：

学科分类号：

摘要：

Semantic Dependency Parsing (SDP) is a deep semantic analysis task. A well-formed dependency scheme is the foundation of SDP. In this paper, we refine the HIT dependency scheme using stronger linguistic theories, yielding a dependency scheme with more clear hierarchy. To cover Chinese semantics more comprehensively, we make a break away from the constraints of dependency trees, and extend to graphs. Moreover, we utilize SVM to parse semantic dependency graphs on the basis of parsing of dependency trees. © Springer International Publishing Switzerland 2014.

引用

页码：58 / 69

页数：11

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