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

页码：308 / 311

页数：4

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