Word sense disambiguation using evolutionary algorithms – Application to Arabic language
作者：
Highlights：
• Genetic and memetic algorithms are used to solve the word sense disambiguation problem.
• Applicability of these algorithms to Modern Standard Arabic is demonstrated by quantifying their potential benefits.
• Genetic algorithm outperforms memetic algorithm and naïve Bayes classifier, attaining 79% precision and 63% recall.
摘要
•Genetic and memetic algorithms are used to solve the word sense disambiguation problem.•Applicability of these algorithms to Modern Standard Arabic is demonstrated by quantifying their potential benefits.•Genetic algorithm outperforms memetic algorithm and naïve Bayes classifier, attaining 79% precision and 63% recall.
论文关键词：Natural language processing,Word sense disambiguation,Modern Standard Arabic,Evolutionary algorithms,Genetic algorithms,Memetic algorithms
论文评审过程：Available online 3 October 2014.
论文官网地址：https://doi.org/10.1016/j.chb.2014.06.021
