[1]孙龙,李彦.基于功能结构元组的技术文档的特征提取研究[J].计算机技术与发展,2019,29(05):12-16.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 003]
　SUN Long,LI Yan.Research on Feature Extraction of Technology Document Based on Functional Structure Tuple[J].,2019,29(05):12-16.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 003]
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基于功能结构元组的技术文档的特征提取研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年05期
页码:
12-16
栏目:
智能、算法、系统工程
出版日期:
2019-05-10

文章信息/Info

Title:
Research on Feature Extraction of Technology Document Based on Functional Structure Tuple
文章编号:
1673-629X(2019)05-0012-05
作者:
孙龙1; 李彦2
1. 四川大学 计算机学院,四川 成都 610065;2. 四川大学 制造学院,四川 成都 610065
Author(s):
SUN Long1; LI Yan2
1. School of Computer Science,Sichuan University,Chengdu 610065,China;2. School of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China
关键词:
功能元组; 文本分类; 特征抽取; 算法设计
Keywords:
function tuple; text classification; feature extraction; algorithm design
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 05. 003
摘要:
词汇模型在表征工程技术知识文档特征时,将文档切分为一个个相互不关联的词,较难提取出文档的语义特征。如果考虑到一条语句中词之间的关联性,根据工程技术知识文档的语义结构信息,提取出功能结构元组作为文档特征,则可以进一步提高分类效果。 文中从工程技术知识文档的特点出发,在归纳总结现有提取文本功能结构元组方法的基础上,探索将基于统计的方法和基于规则的方法相结合。 首先通过统计方法提取文档特征词来过滤掉文档中的噪声和无意义的语句,再从过滤后的语句中按照语法分析树的层次,以递归方式提取文档中的功能结构元组。 为更有效地提取语句中的功能结构元组,对语句的词法分析树中规律性的规则进行了总结。 经验证,该方法可有效提升工程技术知识文档的特征提取效果。
Abstract:
When the vocabulary model represents the features of engineering technology documents,the documents are divided into words that are not related to each other,which is difficult to extract the semantic features of the document. If the relationship between words in asentence is taken into consideration,the functional structure tuples,which extracted as feature of the engineering technology documents,can further improve the classification effect. Starting with the characteristics of engineering technology documents, on the basis ofsummarizing the existing methods of extracting text functional structure tuples,we explore the combination of statistical method and rulebased method. Firstly the document feature words extracted by statistical method contribute to filter out the noise and meaninglessstatements in the document. Then,the functional tuples is recursively extracted according to the level of the parse tree. In order toimprove the effect of the extraction,we summarize the regularity rules of the lexical analysis tree. After verification,this method can effectively improve the feature extraction effect of engineering technology documents.

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更新日期/Last Update: 2019-05-10