Title :
Comparative study on weight function for word sense disambiguation
Author_Institution :
Sch. of Sci., Shandong Polytech. Univ., Jinan, China
Abstract :
Context word of the ambiguous word is an important basis for word sense disambiguation (WSD). Knowledge-based WSD computes overall semantic relatedness between context words and each sense of ambiguous word. Each of context words is assigned different WSD weight based on its distance with ambiguous word. Power function and exponential function can be used to compute WSD weight. In the paper, the performances of them are compared. The experimental result shows that power function is a preferred function to compute WSD weight.
Keywords :
knowledge based systems; natural language processing; word processing; ambiguous word; context words; exponential function; knowledge-based WSD; power function; semantic relatedness; weight function; word sense disambiguation; Computational linguistics; Context; Educational institutions; Knowledge based systems; Semantics; Syntactics; Vectors; exponential function; power function; weight function; word sense disambiguation;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182505
