DocumentCode :
2215230
Title :
Lexical vagueness minimization: An integrated approach
Author :
Guo, Xiao ; Dai, Jin ; Jiang, Zipeng ; Zou, Weidong ; Lin, Yu
Author_Institution :
Inst. for Res. in Applicable Comput., Univ. of Bedfordshire, Luton, UK
Volume :
1
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
This paper presents a model of lexical vagueness minimization for human robots interaction. A game based approach is used to vagueness minimization after a preprocessing, in order to recognize precise meanings to the target word. The experimental results show that our approach is more appropriate than traditional vagueness minimization approaches.
Keywords :
game theory; human-robot interaction; minimisation; natural language processing; game based approach; human robots interaction; lexical vagueness minimization; Alcoholic beverages; Minimization; fuzzy approaches Introduction; lexical vagueness; self-organizing maps; signaling games; vagueness minimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579005
Filename :
5579005
Link To Document :
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