https://www.ncbi.nlm.nih.gov/pubmed/30571777
Word sense disambiguation using hybrid swarm intelligence approach.
Author information
- 1
- Knowledge Technology Research Group (KT), Centre for Artificial Intelligent (CAIT), Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia.
- 2
- Faculty of Computer System and Software Engineering, University Malaysia Pahang (UMP), Pahang, Malaysia.
- 3
- Broadband and Networking (BBNET) Research Group, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
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.
- PMID:
- 30571777
- DOI:
- 10.1371/journal.pone.0208695
애매모호한 단어의 뜻.
이것을 파악하고자 하는 여러 알고리즘들
이 논문에서는
Partcle Swarm Optimization 을 사용하여, 정확도를 약간 더 올림
201812 PLoS_One Word sense disambiguation using hybrid swarm intelligence approach.pdf