Word sense disambiguation using hybrid swarm intelligence approach

Wafaa AL-Saiagh, Sabrina Tiun, Ahmed AL-Saffar, Suryanti Awang, A. S. Al-Khaleefa

Research output: Contribution to journalArticle

Abstract

Word sense disambiguation (WSD) is the process of identifying an appropriate sense for an ambiguous word. With the complexity of human languages in which a single word could yield different meanings, WSD has been utilized by several domains of interests such as search engines and machine translations. The literature shows a vast number of techniques used for the process of WSD. Recently, researchers have focused on the use of meta-heuristic approaches to identify the best solutions that reflect the best sense. However, the application of meta-heuristic approaches remains limited and thus requires the efficient exploration and exploitation of the problem space. Hence, the current study aims to propose a hybrid meta-heuristic method that consists of particle swarm optimization (PSO) and simulated annealing to find the global best meaning of a given text. Different semantic measures have been utilized in this model as objective functions for the proposed hybrid PSO. These measures consist of JCN and extended Lesk methods, which are combined effectively in this work. The proposed method is tested using a three-benchmark dataset (SemCor 3.0, SensEval-2, and SensEval-3). Results show that the proposed method has superior performance in comparison with state-of-the-art approaches.

Original languageEnglish
Article numbere0208695
JournalPLoS One
Volume13
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018

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swarms
Intelligence
Particle swarm optimization (PSO)
Heuristic methods
Search engines
Simulated annealing
Semantics
Benchmarking
Search Engine
methodology
annealing
engines
Language
translation (genetics)
Research Personnel
researchers
Swarm intelligence
Heuristics

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

AL-Saiagh, W., Tiun, S., AL-Saffar, A., Awang, S., & Al-Khaleefa, A. S. (2018). Word sense disambiguation using hybrid swarm intelligence approach. PLoS One, 13(12), [e0208695]. https://doi.org/10.1371/journal.pone.0208695

Word sense disambiguation using hybrid swarm intelligence approach. / AL-Saiagh, Wafaa; Tiun, Sabrina; AL-Saffar, Ahmed; Awang, Suryanti; Al-Khaleefa, A. S.

In: PLoS One, Vol. 13, No. 12, e0208695, 01.12.2018.

Research output: Contribution to journalArticle

AL-Saiagh, W, Tiun, S, AL-Saffar, A, Awang, S & Al-Khaleefa, AS 2018, 'Word sense disambiguation using hybrid swarm intelligence approach', PLoS One, vol. 13, no. 12, e0208695. https://doi.org/10.1371/journal.pone.0208695
AL-Saiagh W, Tiun S, AL-Saffar A, Awang S, Al-Khaleefa AS. Word sense disambiguation using hybrid swarm intelligence approach. PLoS One. 2018 Dec 1;13(12). e0208695. https://doi.org/10.1371/journal.pone.0208695
AL-Saiagh, Wafaa ; Tiun, Sabrina ; AL-Saffar, Ahmed ; Awang, Suryanti ; Al-Khaleefa, A. S. / Word sense disambiguation using hybrid swarm intelligence approach. In: PLoS One. 2018 ; Vol. 13, No. 12.
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