Multilingual Dependency-based Syntactic and Semantic Parsing

Wanxiang Che; Zhenghua Li; Yongqiang Li; Yuhang Guo; Bing Qin; Ting Liu

Multilingual Dependency-based Syntactic and Semantic Parsing

Wanxiang Che
, Zhenghua Li
, Yongqiang Li
, Yuhang Guo
, Bing Qin
, Ting Liu

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Our CoNLL 2009 Shared Task system includes three cascaded components: syntactic parsing, predicate classification, and semantic role labeling. A pseudo-projective high-order graph-based model is used in our syntactic dependency parser. A support vector machine (SVM) model is used to classify predicate senses. Semantic role labeling is achieved using maximum entropy (MaxEnt) model based semantic role classification and integer linear programming (ILP) based post inference. Finally, we win the first place in the joint task, including both the closed and open challenges.

Original language	English
Title of host publication	Proceedings of the 13th Conference on Computational Natural Language Learning
Subtitle of host publication	Shared Task, CoNLL 2009
Editors	Jan Hajic
Publisher	Association for Computational Linguistics (ACL)
Pages	49-54
Number of pages	6
ISBN (Electronic)	9781932432299
State	Published - 2009
Externally published	Yes
Event	13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009 - Boulder, United States Duration: 4 Jun 2009 → 4 Jun 2009

Publication series

Name	Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009

Conference

Conference	13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009
Country/Territory	United States
City	Boulder
Period	4/06/09 → 4/06/09

Cite this

Che, W., Li, Z., Li, Y., Guo, Y., Qin, B., & Liu, T. (2009). Multilingual Dependency-based Syntactic and Semantic Parsing. In J. Hajic (Ed.), Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009 (pp. 49-54). (Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009). Association for Computational Linguistics (ACL).

Che, Wanxiang ; Li, Zhenghua ; Li, Yongqiang et al. / Multilingual Dependency-based Syntactic and Semantic Parsing. Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. editor / Jan Hajic. Association for Computational Linguistics (ACL), 2009. pp. 49-54 (Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009).

@inproceedings{65be55ae68384eafba9e8be580592f57,

title = "Multilingual Dependency-based Syntactic and Semantic Parsing",

abstract = "Our CoNLL 2009 Shared Task system includes three cascaded components: syntactic parsing, predicate classification, and semantic role labeling. A pseudo-projective high-order graph-based model is used in our syntactic dependency parser. A support vector machine (SVM) model is used to classify predicate senses. Semantic role labeling is achieved using maximum entropy (MaxEnt) model based semantic role classification and integer linear programming (ILP) based post inference. Finally, we win the first place in the joint task, including both the closed and open challenges.",

author = "Wanxiang Che and Zhenghua Li and Yongqiang Li and Yuhang Guo and Bing Qin and Ting Liu",

note = "Publisher Copyright: {\textcopyright} 2009 Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. All rights reserved.; 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009 ; Conference date: 04-06-2009 Through 04-06-2009",

year = "2009",

language = "英语",

series = "Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009",

publisher = "Association for Computational Linguistics (ACL)",

pages = "49--54",

editor = "Jan Hajic",

booktitle = "Proceedings of the 13th Conference on Computational Natural Language Learning",

address = "澳大利亚",

}

Che, W, Li, Z, Li, Y, Guo, Y, Qin, B & Liu, T 2009, Multilingual Dependency-based Syntactic and Semantic Parsing. in J Hajic (ed.), Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009, Association for Computational Linguistics (ACL), pp. 49-54, 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009, Boulder, United States, 4/06/09.

Multilingual Dependency-based Syntactic and Semantic Parsing. / Che, Wanxiang; Li, Zhenghua; Li, Yongqiang et al.
Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. ed. / Jan Hajic. Association for Computational Linguistics (ACL), 2009. p. 49-54 (Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multilingual Dependency-based Syntactic and Semantic Parsing

AU - Che, Wanxiang

AU - Li, Zhenghua

AU - Li, Yongqiang

AU - Guo, Yuhang

AU - Qin, Bing

AU - Liu, Ting

PY - 2009

Y1 - 2009

N2 - Our CoNLL 2009 Shared Task system includes three cascaded components: syntactic parsing, predicate classification, and semantic role labeling. A pseudo-projective high-order graph-based model is used in our syntactic dependency parser. A support vector machine (SVM) model is used to classify predicate senses. Semantic role labeling is achieved using maximum entropy (MaxEnt) model based semantic role classification and integer linear programming (ILP) based post inference. Finally, we win the first place in the joint task, including both the closed and open challenges.

AB - Our CoNLL 2009 Shared Task system includes three cascaded components: syntactic parsing, predicate classification, and semantic role labeling. A pseudo-projective high-order graph-based model is used in our syntactic dependency parser. A support vector machine (SVM) model is used to classify predicate senses. Semantic role labeling is achieved using maximum entropy (MaxEnt) model based semantic role classification and integer linear programming (ILP) based post inference. Finally, we win the first place in the joint task, including both the closed and open challenges.

UR - https://www.scopus.com/pages/publications/85123054698

M3 - 会议稿件

AN - SCOPUS:85123054698

T3 - Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009

SP - 49

EP - 54

BT - Proceedings of the 13th Conference on Computational Natural Language Learning

A2 - Hajic, Jan

PB - Association for Computational Linguistics (ACL)

T2 - 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009

Y2 - 4 June 2009 through 4 June 2009

ER -

Che W, Li Z, Li Y, Guo Y, Qin B , Liu T. Multilingual Dependency-based Syntactic and Semantic Parsing. In Hajic J, editor, Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. Association for Computational Linguistics (ACL). 2009. p. 49-54. (Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009).

Multilingual Dependency-based Syntactic and Semantic Parsing

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