DocumentCode :
162498
Title :
Extracting Content of Characters from Single Text
Author :
Xu, Benwei ; Wang, F. ; Zhuge, H.
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
145
Lastpage :
149
Abstract :
Reading texts through digital tools, like computer, ipad or kindle, is gradually replacing the traditional reading behaviour. When people read a long text containing many characters such as a novel, they sometimes only want the content on one or several specific characters instead of the full text. This paper proposes a method to extract the content related one or several characters based on associative memory (ECC). The degree of closeness between a paragraph and multiple characters is calculated. Experiments demonstrate the effectiveness of ECC.
Keywords :
information retrieval; learning (artificial intelligence); text analysis; ECC; associative memory; characters content extraction; closeness degree; reading behaviour; text reading; Associative memory; Computers; Data mining; Encyclopedias; Equations; Error correction codes; Navigation; Content extraction; associative memory; characters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grids (SKG), 2014 10th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/SKG.2014.13
Filename :
6964681
Link To Document :
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