Extraction of semantic relations from opinion reviews in Spanish

被引：3
|
作者：
Galicia-Haro, Sofía N. [1 ]
Gelbukh, Alexander [2 ]
机构：
[1] UNAM Universitary City, Mexico City, Mexico
[2] Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8856卷
关键词：
Semantics; -; Extraction;
D O I：
10.1007/978-3-319-13647-9_18
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
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. © Springer International Publishing Switzerland 2014.
引用
收藏
页码：175 / 190
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