Extraction of Semantic Relations from Opinion Reviews in Spanish

被引：0
|
作者：
Galicia-Haro, Sofia N. [1 ]
Gelbukh, Alexander [2 ]
机构：
[1] UNAM Univ City, Fac Sci, Mexico City, DF, Mexico
[2] Inst Politecn Nacl, Ctr Invest Computac, Mexico City 07738, DF, Mexico
来源：
HUMAN-INSPIRED COMPUTING AND ITS APPLICATIONS, PT I | 2014年 / 8856卷
关键词：
semantic relations; opinion reviews; linguistic patterns; ontology; RULES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We report research on semantic relations extraction to build taxonomies. The state of the art approaches are based on text corpus or on domain texts acquisition to accurately characterize the domain of interest. We analyzed the application of unsupervised methods for ontology building using a collection of opinion reviews in Spanish and the Web. We present some results and discuss the obtained relations.
引用
收藏
页码：175 / 190
页数：16
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