Title : 
Extracting Content of Characters from Single Text
         
        
            Author : 
Xu, Benwei ; Wang, F. ; Zhuge, H.
         
        
            Author_Institution : 
Nanjing Univ. of Posts & Telecommun., Nanjing, China
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Semantics, Knowledge and Grids (SKG), 2014 10th International Conference on
         
        
            Conference_Location : 
Beijing
         
        
        
            DOI : 
10.1109/SKG.2014.13