Title :
On the Capability of Sense Space Model for Word Sense Disambiguation
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Tehran, Tehran, Iran
Abstract :
We had proposed a general model for WSD which is novel in some interesting ways and we have customized the model in form of a method (algorithm group) which is further customized in form of a number of algorithms to study the model´s capability. We have introduced an optimization which has resulted in an unsupervised system which is the second best when evaluated against the renowned Senseval-3 international evaluation scheme, while it is the best non-hybrid unsupervised one.
Keywords :
natural language processing; optimisation; Senseval-3 international evaluation scheme; algorithm group; optimization; sense space model; unsupervised system; word sense disambiguation; Accuracy; Computational modeling; Context modeling; Data models; Frequency control; Frequency conversion; Humans;
Conference_Titel :
Information Science and Applications (ICISA), 2012 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4673-1402-2
DOI :
10.1109/ICISA.2012.6220922
