DocumentCode :
1857611
Title :
Agent Coalition Formation of Chinese Question Answering System Based on Improved Ant Colony Algorithm
Author :
Di, Shuling ; He, Pilian ; Li, Huan
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ. Tianjin, Tianjin, China
fYear :
2010
fDate :
22-24 Jan. 2010
Firstpage :
98
Lastpage :
101
Abstract :
In order to enhance the performance of Chinese question answering (QA) system, this paper presented a model for Chinese question answering system based on multi-agent. Optimal coalition was formatted by using improved ant colony algorithm. This paper described the problem, introduced solving steps based on ant colony algorithm (ACA), and improved ACA considering the characteristics of Chinese QA. The capability of agents and users´ satisfaction were best shown in the process of optimization. The experiment demonstrated that the improved algorithm could avoid falling into local optimums, accelerate the convergence rate and improve the ability of searching an optimum solution.
Keywords :
information retrieval; multi-agent systems; natural language processing; optimisation; Chinese question answering system; agent coalition formation; ant colony algorithm; multiagent system; Electronic learning; Chinese question answering system; ant colony algorithm; coalition; improve; multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E '10. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-5680-2
Electronic_ISBN :
978-1-4244-5681-9
Type :
conf
DOI :
10.1109/IC4E.2010.19
Filename :
5432376
Link To Document :
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