Discovering Distributional Thesauri Semantic Relations

被引：0
|
作者：
Stoykova, Velislava [1 ]
机构：
[1] Bulgarian Acad Sci, Inst Bulgarian Language, 52,Shipchensky Proh Str,Bl 17, BU-1113 Sofia, Bulgaria
来源：
KDWEB 2017: KNOWLEDGE DISCOVERY ON THE WEB | 2017年 / 1959卷
关键词：
Data Mining; Big Data; Hierarchical Categorization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper(1) presents technique and analysis to discover distributional thesauri relations by using statistical similarity of different word's contexts. The application uses educational electronic text corpus and the Sketch Engine software statistical search to extract and compare word's collocations from the related text corpus. The semantic search used is based on the evaluation and comparison of common keyword's collocations by generation distributional thesauri word's semantic relations and words sketch differences. The results of the related search experiments for British Academic Spoken English corpus are evaluated and presented.
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页数：10
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