基于柱搜索的高阶依存句法分析

李正华,车万翔,刘 挺

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PDF(539 KB)
中文信息学报 ›› 2010, Vol. 24 ›› Issue (1) : 37-42.
综述

基于柱搜索的高阶依存句法分析

  • 李正华,车万翔,刘 挺
作者信息 +

Beam-Search Based High-Order Dependency Parser

  • LI Zhenghua, CHE Wanxiang, LIU Ting
Author information +
History +

摘要

该文提出使用所有的孙子节点构成祖孙特征的高阶依存模型,并且使用柱搜索策略限制搜索空间,最终找到近似最优依存树。另外,该文以较小的时间复杂度为代价,使用了丰富的依存关系特征,并且允许模型在解码的过程中进行依存关系选择。作者参加了CoNLL 2009年多语依存句法分析和语义角色标注国际评测,最终获得联合任务总成绩第一名,依存句法分析总成绩第三名。

Abstract

We propose a high-order parsing model which uses all grandchildren nodes to compose high-order features, constrains the searching space by the beam-search strategy, and finds the approximately optimal dependency tree. In addition, we explore rich dependency label features and allow multiple relations for one arc during decoding. In the CoNLL 2009 international evaluation task of multilingual syntactic and semantic dependency parsing, this method ranks first in the joint task, and third in the syntactic parsing task.
Key wordscomputer application; Chinese information processing; Beam-search; High-order Model; Dependency Parsing

关键词

计算机应用 / 中文信息处理 / 柱搜索 / 高阶特征 / 依存分析

Key words

computer application / Chinese information processing / Beam-search / High-order Model / Dependency Parsing

引用本文

导出引用
李正华,车万翔,刘 挺. 基于柱搜索的高阶依存句法分析. 中文信息学报. 2010, 24(1): 37-42
LI Zhenghua, CHE Wanxiang, LIU Ting. Beam-Search Based High-Order Dependency Parser. Journal of Chinese Information Processing. 2010, 24(1): 37-42

参考文献

[1] Michael A. Covington. A fundamental algorithm for dependency parsing [C]//Proceedings of the 39th Annual ACM Southeast Conference,2001.
[2] Hiroyasu Yamada, Yuji Matsumoto. Statistical dependency analysis with support vector machines [C]//
Proceedings of 8th International Workshop on Parsing Technologies. 2003:195-206.
[3] Joakim Nivre, Mario Scholz. Deterministic Dependency Parsing of English Text [C]//Proceedings of COLING. 2004:64-70.
[4] Jason Eisner. Bilexical grammars and a cubic-time probabilistic parser [C]//Proceedings of the International Workshop on Parsing Technologies, MIT. 1997: 54-65.
[5] Ryan McDonald, Koby Crammer and Fernando Pereira. Online Large-Margin Training of Dependency Parsers [C]//Association for Computational Linguistics (ACL). 2005.
[6] Ryan McDonald and Fernando Pereira. Online Learning of Approximate Dependency Parsing Algorithms [C]//European Association for Computational Linguistics (EACL). 2006.
[7] Xavier Carreras. Experiments with a high-order projective dependency parser [C]//Proceedings of the CoNLL 2007 Shared Task Session of EMNLP-CoNLL. 2007:957-961.
[8] Joakim Nivre and J. Nilsson. Pseudo-Projective Dependency Parsing [C]//Proc. of the 43rd Annual Meeting of the ACL. 2005: 99-106.
[9] Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li. A Cascaded Syntactic and Semantic Dependency Parsing System [C]//CoNLL 2008: Proceedings of the 12th Conference on Computational Natural Language Learning, 2008: 238-242.

基金

国家自然科学基金资助项目(60803093;60675034);国家863高科技研究开发计划资助项目(2008AA01Z144)
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