Word2vec for Arabic Word Sense Disambiguation

被引：8
|
作者：
Laatar, Rim [1 ]
Aloulou, Chafik [1 ]
Belghuith, Lamia Hadrich [1 ]
机构：
[1] Univ Sfax, ANLP Res Grp, MIR CL Lab, Fac Econ & Management, Sfax, Tunisia
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS (NLDB 2018) | 2018年 / 10859卷
关键词：
Word sense disambiguation; Word embedding; Word2vec; Arabic; NLP;
D O I：
10.1007/978-3-319-91947-8_32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Word embedding, where words are represented as vectors in a continuous space, has recently attracted much attention in natural language processing tasks due to their ability to capture semantic and syntactic relations between words from a huge amount of text. In this work, we will focus on how word embedding can be used in Arabic word sense disambiguation (WSD).
引用
收藏
页码：308 / 311
页数：4
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