Title :
Unsupervised weighted graph for Word Sense Disambiguation
Author :
Hessami, Ehsan ; Mahmoudi, Faribourz ; Jadidinejad, Amir Hossien
Author_Institution :
Islamic Azad Univ., Qazvin, Iran
Abstract :
Word Sense Disambiguation is one of the essential tasks in the Natural Language Processing that it used to identify the correct sense of words. There are many approaches for Word Sense Disambiguation that in this paper proposes an algorithm based on weighted graph which has few parameters and does not require sense-annotated data for training. Also we used standard data sets to evaluate the algorithm.
Keywords :
graph theory; natural language processing; natural language processing; unsupervised weighted graph; word sense disambiguation; Accuracy; Classification algorithms; Context; Dairy products; Educational institutions; Knowledge based systems; Semantics; tree; weighted graph; word sense disambiguation;
Conference_Titel :
Information and Communication Technologies (WICT), 2011 World Congress on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4673-0127-5
DOI :
10.1109/WICT.2011.6141337
