Paper Info
Title
Mapping Arabic WordNet synsets to Wikipedia articles using monolingual and bilingual features
Abstract
The alignment of WordNet and Wikipedia has received wide attention from researchers of computational linguistics, who are building a new lexical knowledge source or enriching the semantic information of WordNet entities. The main challenge of this alignment is how to handle the synonymy and ambiguity issues in the contents of two units from different sources. Therefore, this paper introduces mapping method that links an Arabic WordNet synset to its corresponding article in Wikipedia. This method uses monolingual and bilingual features to overcome the lack of semantic information in Arabic WordNet. For evaluating this method, an Arabic mapping data set, which contains 1,291 synset-article pairs, is compiled. The experimental analysis shows that the proposed method achieves promising results and outperforms the state-of-the-art methods that depend only on monolingual features. The mapped method has also been used to increase the coverage of Arabic WordNet by inserting new synsets from Wikipedia.
Year
DOI
Venue
2017
10.1017/S1351324915000376
NATURAL LANGUAGE ENGINEERING
DocType
Volume
Issue
Journal
23
1.0
ISSN
Citations 
PageRank 
1351-3249
4
0.38
References 
Authors
8
3
Name
Order
Citations
PageRank
abdulgabbar saif191.49
Mohd Juzaiddin Ab2719.26
Nazlia Omar37814.98