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