Time-sensitive Arabic multiword expressions extraction from social networks

被引：5

作者：

Daoud, Daoud ^{[1
]}

Al-Kouz, Akram ^{[1
]}

Daoud, Mohammad ^{[2
]}

机构：

[1] Princess Sumaya Univ Technol, Dept Comp Sci, Amman, Jordan

[2] Amer Univ Madaba, Dept Comp Sci, Madaba, Jordan

来源：

INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY | 2016年 / 19卷 / 02期

关键词：

Multiword expressions; Arabic; Social networks; Semantic graph;

D O I：

10.1007/s10772-015-9315-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a comprehensive approach for extracting and relating Arabic multiword expressions (MWE) from Social Networks. 15 million tweets were collected and processed to form our data set. Due to the complexity of processing Arabic and the lack of resources, we built an experimental system to extract and relate similar MWE using statistical methods. We introduce a new metrics for measuring valid MWE in Social Networks. We compare results obtained from our experimental system against semantic graph obtained from web knowledgebase.

引用

页码：249 / 258

页数：10

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