Dependency graph based Chinese semantic parsing

Y. Ding; Yanqiu Shao; Wanxiang Che; Ting Liu

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

Dependency graph based Chinese semantic parsing

Y. Ding^*
, Yanqiu Shao
, Wanxiang Che
, Ting Liu

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology
Beijing Language and Culture University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	58-69
Number of pages	12
Journal	Lecture Notes in Computer Science
Volume	8801
DOIs	https://doi.org/10.1007/978-3-319-12277-9_6
State	Published - 2014

Keywords

Auto parsing of dependency graph
Semantic analysis
Semantic dependency graph

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

Cite this

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title = "Dependency graph based Chinese semantic parsing",

abstract = "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.",

keywords = "Auto parsing of dependency graph, Semantic analysis, Semantic dependency graph",

author = "Y. Ding and Yanqiu Shao and Wanxiang Che and Ting Liu",

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year = "2014",

doi = "10.1007/978-3-319-12277-9\_6",

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TY - JOUR

T1 - Dependency graph based Chinese semantic parsing

AU - Ding, Y.

AU - Shao, Yanqiu

AU - Che, Wanxiang

AU - Liu, Ting

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Auto parsing of dependency graph

KW - Semantic analysis

KW - Semantic dependency graph

UR - https://www.scopus.com/pages/publications/84921403954

U2 - 10.1007/978-3-319-12277-9_6

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

M3 - 文章

AN - SCOPUS:84921403954

SN - 0302-9743

VL - 8801

SP - 58

EP - 69

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

ER -

Dependency graph based Chinese semantic parsing

Abstract

Keywords

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