A Japanese Predicate Argument Structure Analysis using Decision Lists

A Japanese Predicate Argument Structure Analysis using Decision Lists
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使用决策表的日语谓词论证结构分析

DOI:
10.3115/1613715.1613780
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发表时间:
2008
影响因子:
22.7
通讯作者:
M. Nagata
M. Nagata
中科院分区:
计算机科学3区
文献类型:
--
作者:
Hirotoshi Taira;Sanae Fujita;M. Nagata

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本文介绍了一种新的日语谓词论元结构自动分析方法。该方法在依赖类型、词、语义类别、词性、虚词和谓语语态等各种约束条件下,利用最接近目标谓语的词的特征,学习相关特征,为目标谓语的论元分配格角色。我们构建了决策列表,其中这些特征按其学习的权重进行排序。使用我们的方法,我们集成了语义角色标记和零代词识别的任务,并取得了17%的改善相比,在句子级性能分析的基线方法。
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the target predicate using the features of the words located closest to the target predicate under various constraints such as dependency types, words, semantic categories, parts of speech, functional words and predicate voices. We constructed decision lists in which these features were sorted by their learned weights. Using our method, we integrated the tasks of semantic role labeling and zero-pronoun identification, and achieved a 17% improvement compared with a baseline method in a sentence level performance analysis.
利用句法模式作为线索零回指解析
DOI: --
发表时间: 2006
期刊: Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Lingustics
影响因子: --
作者:
Ryu Iida;Kentaro Inui;Yuji Matsumoto
通讯作者: Yuji Matsumoto