2013 ◽  
Vol 336-338 ◽  
pp. 2115-2118
Author(s):  
Pei Ying Zhang

Word similarity computation is broadly used in many applications, such as information retrieval, information extraction, text categorization, word sense disambiguation and example-based machine translation and so on. The main obstacle of word similarity computation lie in that how to develop a computational algorithm that is capable of generating satisfactory results close to how human perceive. This paper proposed an approach of word similarity computation which combined WordNet and HowNet. Experiments on Chinese word pairs show that our method is closest to human similarity judgments when compared to the major state-of-art methods.


Author(s):  
Manuel Ladron de Guevara ◽  
Christopher George ◽  
Akshat Gupta ◽  
Daragh Byrne ◽  
Ramesh Krishnamurti

2017 ◽  
Vol 132 ◽  
pp. 47-61 ◽  
Author(s):  
Yoan Gutiérrez ◽  
Sonia Vázquez ◽  
Andrés Montoyo

2005 ◽  
Vol 12 (5) ◽  
pp. 554-565 ◽  
Author(s):  
Martijn J. Schuemie ◽  
Jan A. Kors ◽  
Barend Mons

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