基于语义与规则的有标复句层次体系研究

汉语复句层次关系分析是中文信息处理领域极具挑战性的课题之一。为解决关系词标识信息不充足所导致的复句层次关系识别准确率下降问题，挖掘了影响分句关联的形式化语义知识，在此基础上构建了小句关联体识别算法并将其应用于相应的复句层次判定规则之中，以辅助分析其层次关系；对于其余单、多重有标复句的层次识别，使用基于搭配规则的移进一归约算法；最后提出了一种语义与规则相结合的复句层次分析模型。实验结果表明，此方法在一定程度上提高了复句层次关系识别的准确率。...

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Bibliographic Details
Published in计算机工程与科学 Vol. 39; no. 12; pp. 2306 - 2313
Main Author 李源;刁胜权;胡金柱;翟宏森;杨梦川;黄文灿
Format Journal Article
LanguageChinese
Published 华中师范大学计算机学院,湖北武汉,430079%华中师范大学计算机学院,湖北武汉430079 2017
华中师范大学语言与语言教育研究中心,湖北武汉430079
Subjects
层次关系
挖掘
汉语复句
移进-规约
规则
语义
Chinese complex sentence
规则
hierarchy
shift and reduce
rule
层次关系
semantics
mining
移进-规约
汉语复句
语义
挖掘
Online AccessGet full text
ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2017.12.020

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Summary:汉语复句层次关系分析是中文信息处理领域极具挑战性的课题之一。为解决关系词标识信息不充足所导致的复句层次关系识别准确率下降问题，挖掘了影响分句关联的形式化语义知识，在此基础上构建了小句关联体识别算法并将其应用于相应的复句层次判定规则之中，以辅助分析其层次关系；对于其余单、多重有标复句的层次识别，使用基于搭配规则的移进一归约算法；最后提出了一种语义与规则相结合的复句层次分析模型。实验结果表明，此方法在一定程度上提高了复句层次关系识别的准确率。
Bibliography:Chinese complex sentence ; hierarchy ; semantics ; mining; rule ; shift and reduce
43-1258/TP
Chinese complex sentence hierarchy analysis is one of the challenging topics in the field of Chinese information processing. In order to solve the accuracy decline of automatic recognition caused by inadequate relationship marks, we analyze formal semantic knowledge that affects sentence association, based on which we construct a small sentence association recognition algorithm and apply it to the hierar- chy decision rules of complex sentences to help analyze the hierarchical relationship. As for the analysis of the hierarchy of single and multiple marked complex sentences, we leverage the shift-reduce algorithm based on collocation rules. Finally, we propose a marked complex sentence hierarchy analysis model, which combines semantics and rules. Experimental results show that this method enhances the accuracy of automatic identification to a certain extent.
LI Yuan1 ,DIAO Sheng-quan1 , HU Jin-zhu1,2, ZHAI Hong-sen1, YA
ISSN:1007-130X
DOI:10.3969/j.issn.1007-130X.2017.12.020